CN110648553A - Site reminding method, electronic equipment and computer readable storage medium - Google Patents
Site reminding method, electronic equipment and computer readable storage medium Download PDFInfo
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
- G08G1/133—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams within the vehicle ; Indicators inside the vehicles or at stops
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- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
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Abstract
The invention provides a site reminding method, electronic equipment and a computer readable storage medium, and relates to the technical field of voice recognition, wherein the method comprises the following steps: acquiring a target travel route; receiving voice broadcast information, and identifying a station where the voice broadcast information arrives; if the arrived station is matched with a target station in the target travel route, outputting first reminding information, wherein the first reminding information is used for reminding the arrival; and if the arrived station is not matched with the target station, outputting second reminding information, wherein the second reminding information is used for reminding the rest station information of the target travel route. The embodiment of the invention can avoid the user missing the target site.
Description
Technical Field
The present invention relates to the field of speech recognition technologies, and in particular, to a site reminding method, an electronic device, and a computer-readable storage medium.
Background
Public transport means, such as public transport, subway and the like, are indispensable travel modes for people to work and live in modern society. In the process of taking a vehicle, the public transport system can provide voice reminding of various station information for providing convenience for users to go out. For example, every time a station is reached in the process of taking a subway, the voice prompt can be given to the information of the reached station. However, if the user is not concerned with the voice reminder because he is indulged in playing a phone, sleeping, or other things, the user may miss the site.
Disclosure of Invention
The embodiment of the invention provides a site reminding method and electronic equipment, and aims to solve the problem that a user misses a site if the user does not pay attention to voice reminding in the prior art.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a site reminding method, where the method includes:
acquiring a target travel route;
receiving voice broadcast information, and identifying a station where the voice broadcast information arrives;
if the arrived station is matched with a target station in the target travel route, outputting first reminding information, wherein the first reminding information is used for reminding the arrival;
and if the arrived station is not matched with the target station, outputting second reminding information, wherein the second reminding information is used for reminding the rest station information of the target travel route.
In a second aspect, an embodiment of the present invention provides an electronic device, where the electronic device includes:
the acquisition module is used for acquiring a target travel route;
the identification module is used for receiving the voice broadcast information and identifying the arrived station of the voice broadcast information;
the first output module is used for outputting first reminding information if the arrived station is matched with a target station in the target travel route, wherein the first reminding information is used for reminding the arrival;
and the second output module is used for outputting second reminding information if the arrived station is not matched with the target station, wherein the second reminding information is used for reminding the rest station information of the target travel route.
In a third aspect, an embodiment of the present invention provides an electronic device, which includes a processor, a memory, and a computer program stored on the memory and executable on the processor, and when executed by the processor, the computer program implements the steps of the station reminding method according to the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the station reminding method according to the first aspect are implemented.
In the embodiment of the invention, a target travel route is obtained; receiving voice broadcast information, and identifying a station where the voice broadcast information arrives; if the arrived station is matched with a target station in the target travel route, outputting first reminding information, wherein the first reminding information is used for reminding the arrival; and if the arrived station is not matched with the target station, outputting second reminding information, wherein the second reminding information is used for reminding the rest station information of the target travel route. Therefore, the target station is monitored in real time by matching the arrived station with the target trip route, and the user is prevented from missing the target station.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flowchart of a site reminding method according to an embodiment of the present invention;
fig. 2 is a schematic view of a voiceprint recognition flow in a station prompting method according to an embodiment of the present invention;
fig. 3 is a second schematic view illustrating a voiceprint recognition process in the station prompting method according to the embodiment of the present invention;
fig. 4 is a schematic diagram illustrating a voice separation flow in a site reminding method according to an embodiment of the present invention;
fig. 5 is a schematic diagram illustrating a speech recognition flow in a site reminding method according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention;
fig. 7 is a second schematic structural diagram of an electronic device according to an embodiment of the invention;
fig. 8 is a third schematic structural diagram of an electronic apparatus according to an embodiment of the invention;
fig. 9 is a fourth schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart of a station reminding method according to an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
step 101, obtaining a target travel route.
The target travel route may be a route including public transportation means such as a subway and a bus, for example, the target travel route may include a subway route; alternatively, a bus route may be included; or, the system can simultaneously comprise a subway route and a bus route; more specifically, the travel route includes the station names of each subway, bus and the like in the route, and particularly the connection information of the transfer stations. The obtaining of the target travel route may be obtaining a current location, receiving a target location input by a user voice, displaying at least one travel route based on the current location and the target location, receiving an input of selecting a target travel route from the at least one travel route, and obtaining the target travel route; or the current position is acquired, the target position input by the user through voice is received, and the travel route which takes the least time in the travel routes from the current position to the target position is used as the target travel route; or the travel route directly input by the user through voice can be acquired as the target travel route. The travel route can be multiple and is updated in real time in the target travel process. The embodiment of the present invention does not limit this.
And 102, receiving voice broadcast information, and identifying the arrived site of the voice broadcast information.
The voice broadcast information can be arrival audio data broadcast by public transport means. For example, on a public transport, the arrival audio data may be "xx for the own station" and "xx for the next station". Before the recognition of the arrival of the voice broadcast information, a voice recognition model can be established and trained. The method comprises the steps of collecting arrival audio data broadcasted by public transport means, extracting features of the arrival audio data, establishing a voice recognition model according to the extracted features, and training the voice recognition model.
In addition, the arrival site of the voice broadcast information can be recognized by separating the voice broadcast by a machine in the environment through a voice segmentation technology, then recognizing the relatively pure voice through a voice recognition model, and acquiring the arrival site based on the awakening words recognized in the voice. For example, the wake-up word may be "home station", "next station", etc. Specifically, voice broadcast information can be acquired by utilizing voiceprint recognition and voice separation technologies, a large amount of audio information exists on public transport means, such as voice broadcasted by a machine, crowd speaking voice, machine voice sent by motor vehicles and the like, voice broadcast information is extracted by utilizing the voiceprint recognition and voice separation technologies in the large amount of audio information, and the arrived station of the voice broadcast information can be acquired through voice recognition after the voice broadcast information is acquired.
Step 103, outputting first reminding information if the arrived station is matched with a target station in the target travel route, wherein the first reminding information is used for reminding the arrival.
The first reminding information can be text information or voice information. The first reminding information is output, meanwhile, ringing reminding or vibration reminding can be carried out, and preferably, a user can be reminded of arriving at a station through voice. The target station may be a station at which the user gets off the bus while taking a public transport means, for example, the last station in a subway line in the target travel line, or the last station in a bus line in the target travel line. When the arrival site is matched with the target site, first reminding information can be output to remind a user of getting off the bus in time.
And step 104, if the arrived station is not matched with the target station, outputting second reminding information, wherein the second reminding information is used for reminding the rest station information of the target travel route.
The second reminding information may be text information or voice information. And when the second reminding information is output, ringing reminding or vibration reminding can be carried out, and preferably, the user can be reminded of the rest site information of the travel route in a voice mode. The remaining station information may include at least one of a number of remaining stations and a first estimated time to the target station.
In the embodiment of the invention, a target travel route is obtained; receiving voice broadcast information, and identifying a station where the voice broadcast information arrives; if the arrived station is matched with a target station in the target travel route, outputting first reminding information, wherein the first reminding information is used for reminding the arrival; and if the arrived station is not matched with the target station, outputting second reminding information, wherein the second reminding information is used for reminding the rest station information of the target travel route. Therefore, the target station is monitored in real time by matching the arrived station with the target trip route, and the user is prevented from missing the target station.
Optionally, the voice broadcast information is broadcast information in a first language;
the outputting the first reminding information comprises:
outputting the first reminding information in the second language;
the outputting the second reminding information comprises:
and outputting the second reminding information in the second language.
Wherein the first language is different from the second language. The site reminding method can be applied to a site reminding device, and the second language can be preset on the site reminding device by a user, or the site reminding device can be set by default in the factory leaving process. Other languages than the second language may be the first language. For example, when the user travels abroad, the language of the voice broadcast information broadcast is not the native language of the user, and if the user language is not successful and the website is likely to be missed, the first reminding information and the second reminding information can be output by the native language of the user.
In this embodiment, the voice broadcast information is broadcast in a first language; the outputting the first reminding information comprises: outputting the first reminding information in the second language; the outputting the second reminding information comprises: and outputting the second reminding information in the second language. Therefore, in the scenes of traveling abroad and the like, the arrival information and the residual site information are obtained through language translation, so that the situation that a user misses a site because the language is not passed is avoided, and the user experience is better.
Optionally, receiving the voice broadcast information, and recognizing the arrival site of the voice broadcast information includes:
receiving audio information on a public transport;
carrying out voiceprint recognition and voice separation on the audio information, and extracting voice broadcast information;
and carrying out voice recognition on the voice broadcast information to acquire the arrived site of the voice broadcast information.
The audio information may include various sounds in public transportation means, such as machine broadcast voice, crowd talk voice, machine sound emitted by motor vehicles, and the like. The voice broadcasting system can collect various sounds on public transport means, performs voiceprint recognition on the collected various sounds, acquires voice audio including machine broadcasting, performs voice separation on the voice audio including the machine broadcasting to obtain voice broadcasting information, and performs voice recognition on the voice broadcasting information to acquire the arrived station of the voice broadcasting information.
Further, voiceprint recognition may include the following processes:
after the voice information on the public transport means is obtained, the voice information can be divided into two types, the first type of voice information comprises the voice broadcasted by a machine, the second type of voice information does not comprise the voice broadcasted by the machine, and the first type of voice information can be obtained through a voiceprint recognition model. As shown in fig. 2, the voiceprint recognition process may include training speech and recognizing speech, and when training speech, first extracting speech features, and performing model training on the extracted speech features to obtain a model library; when the voice is recognized, the feature of the voice to be recognized is extracted, the scoring judgment is carried out on the basis of the model base, and the result with the highest score is used as the result of recognizing the voice. In practical application, a voiceprint recognition system based on GMM-UBM (mixed gaussian-universal background model) can be used for voiceprint recognition, as shown in fig. 3, the voiceprint recognition system based on GMM-UBM can include a training stage and a testing stage, in the training stage, an input voice extracted by preprocessing features is trained to complete UBM, the UBM is used as an initial model, and a speaker model, namely a mixed gaussian model (GMM), is obtained based on adaptive training of Maximum a posterior probability (MAP); in the testing stage, UBM TOP 5 of the input voice extracted by the preprocessing characteristics is calculated, then each speaker model score is calculated, and the speaker with the largest score is used as a voiceprint recognition result. GMM-UBM trains a global background model (UBM) by using a large amount of speaker voices, so that a more accurate model can be obtained under the condition of a smaller training set, and the recognition performance and the robustness are better.
In a specific embodiment, in the voiceprint recognition model, the feature extracted for the speech is an acoustic front-end filter bank20 dimensional feature, and a first order difference and a second order difference are added to the feature to form a 60 dimensional feature. The recognition model is GMM-UBM, the data distribution difference between the voice broadcasted by the machine and the environmental sound except the voice broadcasted by the machine is considered to be larger, the UBM adopts 1024 Gaussian models, and the calculation model scoring method is a PLDA algorithm.
Further, as shown in fig. 4, the voice separation may include the following processes:
a time-frequency decomposition 201, which decomposes the input time-domain signal into two-dimensional time-frequency signal representations by means of signal processing methods, such as an auditory filter bank or short-time fourier transform;
and a separation target 203 for synthesizing a waveform signal of the target voice using the estimated separation target and the mixed signal, wherein in the design of the separation target, a voiceprint feature of the voice broadcasted by the machine can be adopted as the separation target. In the process of voiceprint recognition, a voiceprint recognition model for recognizing pure machine broadcast voice, namely the voiceprint recognition model only contains machine broadcast voice, is trained, voiceprint characteristics of the machine broadcast voice are extracted through the voiceprint recognition model, and the voiceprint characteristics are used as a separation target;
the waveform synthesis 205 obtains a waveform signal of the target voice by inverse transformation (inverse fourier transform or inverse gamma filtering) using the estimated separation target and the mixed signal.
The voice separation can be divided into a training stage and a testing stage, a separation model is generated based on a separation target in the training stage, front-end acoustic characteristics are extracted from mixed voice in the testing stage, voice voiceprint characteristics are generated through a voiceprint recognition model, voice separation is carried out on the mixed voice containing noise through the separation model generated in the training stage, a pure machine broadcast voice is extracted, and the pure machine broadcast voice is taken as voice broadcast information extracted through the voice separation.
As a specific implementation manner, in a separated speech experiment, first, a front-end speech is framed, a frame length is 0.025s, a frame shift is 0.01s, for each training speech, a short-time fourier transform is performed on each frame of speech after framing, so as to form a time-frequency Spectrum (STFT) of the speech, that is, a front-end acoustic feature of the speech, a dimension of an output of the short-time fourier transform is set to 512, and for a real number domain, a feature of 257 dimensions is obtained for each frame, so that a size of the time-frequency spectrum feature of one speech is: frame number 257. And extracting depth features of the time frequency spectrum through a depth network structure model. For the separation model, a deep convolutional network (CNN) is used, which contains 5 convolutional layers, the convolutional kernel size of each layer is 4, the posing layer uses maximum pooling, the pooling size is 2, and the trained loss function uses minimum Mean Square Error (MSE). And for the voiceprint feature of the pure voice designed as the separation target, extracting the filter bank feature of the pure voice according to the voiceprint recognition model to form 64 dimensions in total, and extracting the feature Vector i-Vector of the voice through the GMM-UBM model, wherein the Vector is set to be 400 dimensions.
Further, after the voice is separated and the voice broadcast information is extracted, voice recognition can be performed on the voice broadcast information. As shown in fig. 5, the speech recognition process may include speech signal pre-processing 301, feature extraction 302, pattern matching 303, and a model library 304. The input end carries out voice input, firstly carries out voice signal preprocessing, then establishes a voice model according to the voice characteristics of people, analyzes the input voice signal, extracts the required characteristics and establishes a template required by voice recognition on the basis. And the computer compares the voice template stored in the computer with the characteristics of the input voice signal according to the voice recognition model in the recognition process, and finds out a series of optimal templates matched with the input voice according to a certain search and matching strategy. Then, according to the definition of the template, the identification result of the computer can be given by looking up the table. Obviously, the optimal result has direct relation with the selection of the characteristics, the quality of the voice model and the accuracy of the template.
Speech recognition can include two major components: training and identifying. Training is usually completed off-line, signal processing and knowledge mining are carried out on a mass voice and language database collected in advance, and an acoustic model and a language model required by voice recognition are obtained; and the recognition is usually completed on line, and the real-time voice of the user is automatically recognized. The recognition can be generally divided into a front-end module and a rear-end module, wherein the front-end module is mainly used for carrying out endpoint detection (removing redundant mute and non-speaking voice), noise reduction, feature extraction and the like; the 'back end' module is mainly used for carrying out statistical pattern recognition on the feature vector of the user speaking by utilizing the trained 'acoustic model' and 'language model', namely decoding to obtain the contained text information, and in addition, the 'back end' module also has an 'adaptive' feedback module which can carry out self-learning on the voice of the user, thereby carrying out necessary 'correction' on the 'acoustic model' and the 'language model' and further improving the recognition accuracy. .
In this embodiment, audio information on a public transportation vehicle is received; carrying out voiceprint recognition and voice separation on the audio information, and extracting voice broadcast information; and carrying out voice recognition on the voice broadcast information to acquire the arrived site of the voice broadcast information. Therefore, the arrived station is obtained through voiceprint recognition, voice separation and voice recognition, the arrived station can be accurately obtained, and the user is further prevented from missing the target station.
Optionally, the remaining site information includes at least one of a remaining site number and a first estimated time to the target site, and after outputting second reminding information if the reached site is not matched with the target site, the method further includes:
if the first estimated time exceeds a first preset time threshold, searching a preset vehicle in a preset range of the next station, and estimating a second estimated time for reaching the target station based on the preset vehicle;
and if the second estimated time is less than the first estimated time and the time difference between the second estimated time and the first estimated time is greater than a second preset time threshold, outputting map navigation from the next station to the position of the preset vehicle and the second estimated time.
The remaining number of stations may be the number of stations remaining from the station to the target station. The first estimated time to the target station can be obtained according to the vehicle speed and the distance, or can be obtained according to experience, or can be obtained according to the current real-time road condition information. The first estimated time may be estimated time obtained according to current real-time traffic information. For example, in a traffic jam state, estimation can be performed according to the vehicle condition on the road, and the first estimation time is longer; in the non-traffic jam state, calculation can be carried out only according to the distance of the journey and the conventional vehicle speed, and the first estimated time is shorter. The first preset time threshold may be 30min, or may be 1h, or may also be 2 h. The second preset time threshold may be 10min, or may be 20min, or may be 30min, and the like, which is not limited in the embodiment of the present invention. The preset transportation means may be other public transportation means such as a shared bicycle that is different from the public transportation means currently used.
In the embodiment, if the first estimated time exceeds a first preset time threshold, searching for a preset vehicle in a preset range of a next station, and estimating a second estimated time for reaching the target station based on the preset vehicle; and if the second estimated time is less than the first estimated time and the time difference between the second estimated time and the first estimated time is greater than a second preset time threshold, outputting map navigation from the next station to the position of the preset vehicle and the second estimated time. Therefore, under the condition that traffic jam occurs or the riding time is longer than the time spent on riding the shared bicycle, the solution of riding the shared bicycle can be actively provided for the user, and the user experience is better.
Optionally, the obtaining of the target travel route includes:
acquiring a current position;
receiving a target position input by a user voice;
displaying at least one travel route based on the current location and the target location;
receiving an input selecting a target travel route among the at least one travel route;
and acquiring the target travel route.
After receiving a target position input by a user through voice, obtaining a text of the target position through a voice recognition technology, and recommending at least one travel route to the user based on the current position and the target position so that the user can select the target travel route from the at least one travel route.
In this embodiment, the current position is acquired; receiving a target position input by a user voice; displaying at least one travel route based on the current location and the target location; receiving an input selecting a target travel route among the at least one travel route; and acquiring the target travel route. Therefore, the target travel route selected by the user is obtained through information interaction with the user, the requirements of the user are highly met, and the user experience is good.
Optionally, the method further includes:
if the arrived station is not matched with the station in the target travel route, updating the target travel route based on the arrived station, and outputting third reminding information, wherein the third reminding information is used for reminding that the target travel route is updated.
The arrived station and all stations in the target travel route can be compared one by one, and whether the arrived station is matched with the stations in the target travel route or not is checked, namely whether the arrived station is in the stations of the target travel route or not is checked. Updating the target travel route based on the arrived station may be to re-plan the target travel route based on the arrived station and a target position in the target travel route. The third reminding information can be text information or voice information. And outputting the third reminding information, and simultaneously carrying out ringing reminding or vibration reminding, preferably, reminding the user of updating the target travel route by voice.
In the embodiment, when the actual travel route does not accord with the target travel route, the target travel route is updated according to the current arrival station, the user is reminded that the actual travel route does not accord with the target travel route, the target travel route is updated, whether the actual travel route of the user is wrong or not can be monitored, and the user experience is good.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 6, the electronic device 400 includes:
an obtaining module 401, configured to obtain a target travel route;
the identification module 402 is configured to receive voice broadcast information and identify a station where the voice broadcast information arrives;
a first output module 403, configured to output first reminding information if the destination point matches a destination point in the destination travel route, where the first reminding information is used to remind the destination point;
a second output module 404, configured to output second prompting information if the arrived station is not matched with the target station, where the second prompting information is used to prompt the remaining station information of the target travel route.
Optionally, the voice broadcast information is broadcast information in a first language;
the first output module 403 is specifically configured to:
if the arrived station is matched with a target station in the target travel route, outputting first reminding information in a second language;
the second output module 404 is specifically configured to:
and if the arrived site is not matched with the target site, outputting second reminding information in a second language.
Optionally, the identifying module 402 is specifically configured to:
receiving audio information on a public transport;
carrying out voiceprint recognition and voice separation on the audio information, and extracting voice broadcast information;
and carrying out voice recognition on the voice broadcast information to acquire the arrived site of the voice broadcast information.
Optionally, the remaining station information includes at least one of a remaining station number and a first estimated time to the target station, as shown in fig. 7, the electronic device 400 further includes:
the searching module 405 searches for a preset vehicle in a preset range of a next station if the first estimated time exceeds a first preset time threshold, and estimates a second estimated time for reaching the target station based on the preset vehicle;
a third output module 406, configured to output map navigation from the next station to the location of the preset vehicle and the second estimated time if the second estimated time is less than the first estimated time and a time difference between the second estimated time and the first estimated time is greater than a second preset time threshold.
Optionally, the obtaining module 401 is specifically configured to:
acquiring a current position;
receiving a target position input by a user voice;
displaying at least one travel route based on the current location and the target location;
receiving an input selecting a target travel route among the at least one travel route;
and acquiring the target travel route.
Optionally, as shown in fig. 8, the electronic device 400 further includes:
an updating module 407, configured to update the target travel route based on the arrived station and output third prompting information if the arrived station is not matched with a station in the target travel route, where the third prompting information is used to prompt that the target travel route is updated.
The electronic device can implement each process implemented in the method embodiment of fig. 1, and is not described here again to avoid repetition.
Referring to fig. 9, fig. 9 is a fourth schematic structural diagram of an electronic device according to an embodiment of the present invention, as shown in fig. 9, the electronic device 500 includes: a memory 502, a processor 501, and a program stored on the memory 502 and executable on the processor 501, wherein:
the processor 501 reads the program in the memory 502 for executing:
acquiring a target travel route;
receiving voice broadcast information, and identifying a station where the voice broadcast information arrives;
if the arrived station is matched with a target station in the target travel route, outputting first reminding information, wherein the first reminding information is used for reminding the arrival;
and if the arrived station is not matched with the target station, outputting second reminding information, wherein the second reminding information is used for reminding the rest station information of the target travel route.
In the embodiment of the invention, a target travel route is obtained; receiving voice broadcast information, and identifying a station where the voice broadcast information arrives; if the arrived station is matched with a target station in the target travel route, outputting first reminding information, wherein the first reminding information is used for reminding the arrival; and if the arrived station is not matched with the target station, outputting second reminding information, wherein the second reminding information is used for reminding the rest station information of the target travel route. Therefore, the target station is monitored in real time by matching the arrived station with the target trip route, and the user is prevented from missing the target station.
Optionally, the voice broadcast information is broadcast information in a first language;
the outputting of the first reminding information performed by the processor 501 includes:
outputting the first reminding information in the second language;
the outputting the second reminding information comprises:
the processor 501 outputs the second reminding information in the second language.
Optionally, receiving the voice broadcast information, and recognizing the arrival site of the voice broadcast information includes:
receiving audio information on a public transport;
carrying out voiceprint recognition and voice separation on the audio information, and extracting voice broadcast information;
and carrying out voice recognition on the voice broadcast information to acquire the arrived site of the voice broadcast information.
Optionally, the remaining station information includes at least one of a remaining station number and a first estimated time to the target station, and the processor 501 is further configured to:
if the first estimated time exceeds a first preset time threshold, searching a preset vehicle in a preset range of the next station, and estimating a second estimated time for reaching the target station based on the preset vehicle;
and if the second estimated time is less than the first estimated time and the time difference between the second estimated time and the first estimated time is greater than a second preset time threshold, outputting map navigation from the next station to the position of the preset vehicle and the second estimated time.
Optionally, the obtaining of the target travel route performed by the processor 501 includes:
acquiring a current position;
receiving a target position input by a user voice;
displaying at least one travel route based on the current location and the target location;
receiving an input selecting a target travel route among the at least one travel route;
and acquiring the target travel route.
Optionally, the processor 501 is further configured to perform:
if the arrived station is not matched with the station in the target travel route, updating the target travel route based on the arrived station, and outputting third reminding information, wherein the third reminding information is used for reminding that the target travel route is updated.
In fig. 9, the bus architecture may include any number of interconnected buses and bridges, with one or more processors represented by processor 501 and various circuits of memory represented by memory 502 being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface.
The processor 501 is responsible for managing the bus architecture and general processing, and the memory 502 may store data used by the processor 501 in performing operations.
It should be noted that any implementation manner in the method embodiment of the present invention may be implemented by the electronic device in this embodiment, and achieve the same beneficial effects, and details are not described here.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the above-mentioned station reminding method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (13)
1. A site reminding method is characterized by comprising the following steps:
acquiring a target travel route;
receiving voice broadcast information, and identifying a station where the voice broadcast information arrives;
if the arrived station is matched with a target station in the target travel route, outputting first reminding information, wherein the first reminding information is used for reminding the arrival;
and if the arrived station is not matched with the target station, outputting second reminding information, wherein the second reminding information is used for reminding the rest station information of the target travel route.
2. The method according to claim 1, wherein the voice broadcast message is a message broadcast in a first language;
the outputting the first reminding information comprises:
outputting the first reminding information in the second language;
the outputting the second reminding information comprises:
and outputting the second reminding information in the second language.
3. The method of claim 1, wherein the receiving the voice broadcast message and identifying the arrived station of the voice broadcast message comprises:
receiving audio information on a public transport;
carrying out voiceprint recognition and voice separation on the audio information, and extracting voice broadcast information;
and carrying out voice recognition on the voice broadcast information to acquire the arrived site of the voice broadcast information.
4. The method of claim 1, wherein the remaining site information includes at least one of a number of remaining sites and a first estimated time to the target site, and wherein after outputting a second reminding message if the arrived site does not match the target site, the method further comprises:
if the first estimated time exceeds a first preset time threshold, searching a preset vehicle in a preset range of the next station, and estimating a second estimated time for reaching the target station based on the preset vehicle;
and if the second estimated time is less than the first estimated time and the time difference between the second estimated time and the first estimated time is greater than a second preset time threshold, outputting map navigation from the next station to the position of the preset vehicle and the second estimated time.
5. The method of claim 1, wherein the obtaining of the target travel route comprises:
acquiring a current position;
receiving a target position input by a user voice;
displaying at least one travel route based on the current location and the target location;
receiving an input selecting a target travel route among the at least one travel route;
and acquiring the target travel route.
6. The method of claim 1, further comprising:
if the arrived station is not matched with the station in the target travel route, updating the target travel route based on the arrived station, and outputting third reminding information, wherein the third reminding information is used for reminding that the target travel route is updated.
7. An electronic device, characterized in that the electronic device comprises:
the acquisition module is used for acquiring a target travel route;
the identification module is used for receiving the voice broadcast information and identifying the arrived station of the voice broadcast information;
the first output module is used for outputting first reminding information if the arrived station is matched with a target station in the target travel route, wherein the first reminding information is used for reminding the arrival;
and the second output module is used for outputting second reminding information if the arrived station is not matched with the target station, wherein the second reminding information is used for reminding the rest station information of the target travel route.
8. The electronic device according to claim 7, wherein the voice broadcast information is broadcast in a first language;
the first output module is specifically configured to:
if the arrived station is matched with a target station in the target travel route, outputting first reminding information in a second language;
the second output module is specifically configured to:
and if the arrived site is not matched with the target site, outputting second reminding information in a second language.
9. The electronic device of claim 7, wherein the identification module is specifically configured to:
receiving audio information on a public transport;
carrying out voiceprint recognition and voice separation on the audio information, and extracting voice broadcast information;
and carrying out voice recognition on the voice broadcast information to acquire the arrived site of the voice broadcast information.
10. The electronic device of claim 7, wherein the remaining site information includes at least one of a number of remaining sites and a first estimated time to the target site, the electronic device further comprising:
the searching module searches a preset vehicle in a preset range of the next station if the first estimated time exceeds a first preset time threshold value, and estimates a second estimated time for reaching the target station based on the preset vehicle;
and the third output module is used for outputting the map navigation from the next station to the position of the preset vehicle and the second estimated time if the second estimated time is less than the first estimated time and the time difference between the second estimated time and the first estimated time is greater than a second preset time threshold value.
11. The electronic device of claim 7, wherein the obtaining module is specifically configured to:
acquiring a current position;
receiving a target position input by a user voice;
displaying at least one travel route based on the current location and the target location;
receiving an input selecting a target travel route among the at least one travel route;
and acquiring the target travel route.
12. The electronic device of claim 7, further comprising:
and the updating module is used for updating the target travel route based on the arrived station and outputting third reminding information if the arrived station is not matched with the station in the target travel route, wherein the third reminding information is used for reminding that the target travel route is updated.
13. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the site reminder method according to any one of claims 1 to 6.
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