WO2017005013A1 - 一种语音识别汽车车速控制器及其控制方法 - Google Patents
一种语音识别汽车车速控制器及其控制方法 Download PDFInfo
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- WO2017005013A1 WO2017005013A1 PCT/CN2016/077316 CN2016077316W WO2017005013A1 WO 2017005013 A1 WO2017005013 A1 WO 2017005013A1 CN 2016077316 W CN2016077316 W CN 2016077316W WO 2017005013 A1 WO2017005013 A1 WO 2017005013A1
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- voice
- voice recognition
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- speech recognition
- vehicle speed
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K31/00—Vehicle fittings, acting on a single sub-unit only, for automatically controlling vehicle speed, i.e. preventing speed from exceeding an arbitrarily established velocity or maintaining speed at a particular velocity, as selected by the vehicle operator
- B60K31/02—Vehicle fittings, acting on a single sub-unit only, for automatically controlling vehicle speed, i.e. preventing speed from exceeding an arbitrarily established velocity or maintaining speed at a particular velocity, as selected by the vehicle operator including electrically actuated servomechanism including an electric control system or a servomechanism in which the vehicle velocity affecting element is actuated electrically
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
Definitions
- the invention relates to vehicle speed control, in particular to a controller for controlling vehicle speed based on voice recognition and a control method thereof.
- the object of the present invention is to provide a speech recognition vehicle speed controller and a control method thereof for the above-mentioned deficiencies, and is a controller based on artificial intelligence speech recognition technology, and the car key starts the car and also activates the speech recognition chip.
- the voice recognition chip will refresh the voice database, re-identify and store the sound information; by automatically recognizing the number of the vehicle speed in the driver's language, the car central controller ECU can accurately control the speed of the vehicle, to the maximum extent.
- the use of the foot to control the various wrong operations caused by the throttle and the various accidents caused by it.
- a voice recognition vehicle speed controller includes a voice recognition module and a car central control
- the ECU the voice recognition module comprises a microphone array and a voice recognition chip, the microphone array is connected with the voice recognition chip; the voice recognition chip is connected with the car central controller ECU; the voice recognition module is installed in the car cab control panel, and receives the set
- the voice signal is transmitted to the central controller ECU of the automobile, and after receiving the voice signal, the central controller ECU of the automobile controls the pulse signal of the electronically controlled injector to change, thereby achieving the purpose of changing the speed of the automobile;
- the car key switch is connected to the reset end of the voice recognition chip.
- the key chip restarts the voice recognition system to collect, analyze and store the driver's voice; thus ensuring the uniqueness of the driver's voice, ie who starts The car listens to who controls the voice.
- the microphone array receives a driver's voice input for source location identification; the microphone array is very sensitive to noise, and can filter the ambient background sound to the maximum extent, leaving only the required sound waves, which is a key to automatic speech recognition and positioning. Pre-processing components.
- the speech recognition chip adopts a specific human speech recognition chip, and the speech recognition of the designated person is not recognized by other people, and the user's speech reference sample is stored in advance as a comparison database.
- the specific human speech recognition chip adopts a commercially available SPCE061A speech recognition chip, and this chip is not the only option, and the speech recognition chip can be selected according to actual conditions.
- the microphone array adopts a commercially available micro-electromechanical system MEMS-based microphone array, which is a hardware audio signal synchronous acquisition and processing system composed of an STM32F4 microcontroller and a MEMS microphone, and the signal capturing capability is equivalent to 8 sampling rates up to 48KHz. microphone.
- a method for controlling a voice recognition vehicle speed controller includes the following steps:
- the reset end of the voice recognition system receives the car key chip information, and the voice recognition system automatically erases the content of the random access memory RAM in the voice recognition chip to prepare for voice training;
- the sound wave is input through the microphone port, and the corresponding signal is transmitted to the voice recognition chip, after being processed by the codec circuit and the digital signal, in the voice recognition chip and the pre-implanted voice.
- the commands in the library are compared and identified, and judged according to the result of the identification, and converted into a signal that can be recognized by the system, thereby locking a specific person, that is, a driver's voice, and performing voice tracking control;
- step 4 when the user issues a voice command while driving, the voice recognition system recognizes the driver's request for the vehicle speed, transmits the audio signal to the central controller ECU of the vehicle, and controls the fuel injection of the injector by the central controller ECU of the automobile. Quantity, thus realizing real-time control of vehicle speed.
- the invention has the advantages that the voice control can effectively control the throttle of the automobile, and the traditional foot control throttle is changed into the voice control throttle and the vehicle speed, and the fuzzy control is changed into precise control.
- the unique specific human speech recognition technology in the invention effectively guarantees the uniqueness of the driver's voice, ensures the safety of driving, has a simple system structure, is convenient to use, and is suitable for promotion.
- FIG. 1 is a block diagram showing the operation of the controller of the present invention
- FIG. 2 is a structural diagram of a speech recognition chip employed in the present invention.
- a speech recognition vehicle speed controller of the present invention comprises a speech recognition module and a car central controller ECU, the speech recognition module comprises a microphone array and a speech recognition chip, the microphone array is connected with the speech recognition chip; the speech recognition chip Connected to the car central controller ECU; the voice recognition module is installed in the car cab control panel, receives the set voice signal, and transmits the voice signal to the car central controller ECU, and the car central controller ECU receives the voice signal After that, the output control of the electronically controlled injector pulse signal changes, thereby achieving the purpose of changing the vehicle speed;
- the car key switch is connected to the reset end of the voice recognition chip.
- the key chip restarts the voice recognition system to collect, analyze and store the driver's voice; thus ensuring the uniqueness of the driver's voice, ie who starts The car listens to who controls the voice.
- the microphone array receives a driver's voice input for source location identification; the microphone array is very sensitive to noise, and can filter the ambient background sound to the maximum extent, leaving only the required sound waves, which is a key to automatic speech recognition and positioning. Pre-processing components.
- the speech recognition chip adopts a specific human speech recognition chip, and the voice for the designated person Identification, other people's words are not recognized, the user's voice reference samples are stored in advance as a comparison database.
- the specific human speech recognition chip adopts a commercially available SPCE061A speech recognition chip, and this chip is not the only option, and the speech recognition chip can be selected according to actual conditions.
- the microphone array adopts a commercially available micro-electromechanical system MEMS-based microphone array, which is a hardware audio signal synchronous acquisition and processing system composed of an STM32F4 microcontroller and a MEMS microphone, and the signal capturing capability is equivalent to 8 sampling rates up to 48KHz. microphone.
- a method for controlling a voice recognition vehicle speed controller includes the following steps:
- the reset end of the voice recognition system receives the car key chip information, and the voice recognition system automatically erases the content of the random access memory RAM in the voice recognition chip to prepare for voice training;
- the sound wave is input through the microphone port, and the corresponding signal is transmitted to the voice recognition chip, after being processed by the codec circuit and the digital signal, in the voice recognition chip and the pre-implanted voice.
- the commands in the library are compared and identified. Judging according to the result of the identification, converting into a signal that can be recognized by the system, thereby locking a specific person, that is, a driver's voice, and performing voice tracking control;
- step 4 when the user issues a voice command while driving, the voice recognition system recognizes the driver's request for the vehicle speed, transmits the audio signal to the central controller ECU of the vehicle, and controls the fuel injection of the injector by the central controller ECU of the automobile. Quantity, thus realizing real-time control of vehicle speed.
- the microphone array is composed of sound source direction measurement, data fusion, automatic speech recognition and automatic speaker confirmation module; wherein the audio direction measurement is used to run three different audio direction estimation algorithms; the data fusion is responsible for inferring the direction, and the automatic speech recognition utilizes the incoming The audio signal enhances the main source signal strength and attenuates other audio signals around the main source.
- the automatic speaker confirms the recognition of certain key words, and then uses the relevant features to match the speaker; if the voice recognition task is not successful, it feeds back to the data fusion system, estimates the incoming voice in the new direction, and then drives the microphone array to point in the direction. .
- the electronic control unit of the ECU is also called “driving computer” or “on-board computer”. In terms of use, it is a car-specific microcomputer controller. It is a large-scale integration of microprocessor (CPU), memory (ROM, RAM), input/output interface (I/O), analog-to-digital converter (A/D), and shaping and driving, just like a normal computer. Circuit composition. To use a simple word to describe is "ECU is the brain of a car.”
- the ECU collects the working state information of each part of the engine through various sensors including a temperature sensor, a pressure sensor, a rotation sensor, a flow sensor, a position sensor, an oxygen sensor, a knock sensor, and a voice recognition signal described in the present invention, and is responsible for transmitting The lost line is sent to the ECU. After the ECU receives these signals, it analyzes the various signals, and then knows what state the functions of the various components of the engine are, how the operation is, and then automatically calculates the operation according to the program written in advance. Which executors should be allowed to do what, then send the instructions to the executor and command the executor to work.
- the audio signal is transmitted to the central controller ECU of the vehicle, and the ECU controls the fuel injection amount of the injector to realize real-time control of the vehicle speed.
- the invention regards the driver of the automobile as a specific person, and the specific person's voice recognition must perform voice positioning before use, and generally can be used by training the voice entry 2 times according to the machine prompt.
- the composition of speech recognition hardware should consider many other factors. Firstly, due to cost constraints, fixed-point DSP is generally used, which means that the complexity of the algorithm is limited. Secondly, there are various strict restrictions on productization. This requires a highly integrated hardware DSP, so the most ideal hardware component is a system-level chip.
- the invention uses the speech recognition chip SPCE061A controller as a development platform for constructing a speech recognition system.
- the speech recognition chip SPCE061A is a 16-bit unique voice controller.
- the ⁇ 'nSPTM (microcontroller and signal processor) core processor is used on the chip. It has high processing speed and can perform 16-bit arithmetic logic operation. ⁇ 16-bit hardware multiplication operation and DSP inner product filtering operation, which can process complex digital signals quickly, without additional dedicated voice control chip, can realize speech codec, etc., which not only saves design cost, but also satisfies certain Control requirements.
- Controller with modular architecture, integrated ICE (online simulation), phase-locked loop oscillator, time base controller, 7-way Channel 10-bit AD converter, single-channel AD+AGC (automatic gain) converter, dual 10-bit DA converter, universal asynchronous communication interface, serial input and output interface, voltage monitoring and other modules, the structure shown in Figure 2 .
- the speech recognition chip SPCE061A is equipped with a dedicated microphone interface for voice input during speech training and recognition.
- the 16-bit timer/counter is used for control sampling of voice signals.
- the built-in hardware multiplier and inner product operation ensure the operation of the identification algorithm. .
- a speech recognition function library bsrv222SDL.lib is provided, which is sufficient for the system to continuously recognize a specific person's speech, including a training function and an identification function, and can also import and export the trained feature model. Since the feature model of the voice command is to be saved in the RAM, the RAM in the voice recognition chip SPCE061A is first erased, and the voice training is prepared. After the training mode is started, the system plays a voice prompt to prompt the user that the voice training has been started.
- the user can train each command in turn according to the system prompt.
- the voice prompts the next command to train. If it fails, the user will be prompted to continue training the voice.
- the system will prepare for voice recognition.
- a voice command is issued to the controller, the sound wave is input through the microphone port, and the corresponding signal is transmitted to SP-CEO61A.
- the chip After processing the chip, the codec circuit and the digital signal processing, the chip compares and recognizes the commands in the pre-implanted voice library through the relevant program, and judges according to the result of the identification, and converts into a signal that can be recognized by the system, thereby Control the monitored system.
- the car keys use chips, which are magnetic chip systems.
- the reading coil of the car ignition lock cylinder will read the chip of the key; the chip has fixed digital information.
- the car key switch is connected to the reset end of the speech recognition chip SPCE061A, when the driver uses it once.
- the car key and key chip will restart the voice recognition system to collect, analyze and store the driver's voice.
- the uniqueness of the guaranteed driver's voice that is, who controls the voice control of who starts the car.
- the invention adopts voice control to effectively control the automobile throttle, and changes the traditional foot control throttle to the voice control throttle and the vehicle speed, and turns the fuzzy control into precise control to ensure the safety of driving.
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- Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
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- Fittings On The Vehicle Exterior For Carrying Loads, And Devices For Holding Or Mounting Articles (AREA)
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Abstract
一种语音识别汽车车速控制器及其控制方法。该控制器包括语音识别模块和汽车中央控制器ECU,语音识别模块包括麦克风阵列和语音识别芯片,麦克风阵列与语音识别芯片相连;语音识别芯片与汽车中央控制器ECU相连;语音识别模块安装在汽车驾驶室控制面板中,接收设定的语音信号,并将该语音信号传输给汽车中央控制器ECU,汽车中央控制器ECU收到该语音信号后,其输出控制电控喷油器的脉冲信号发生改变;汽车钥匙开关与语音识别芯片的复位端相连。采用语音控制汽车油门,保证驾驶的安全性,系统结构简单,使用方便。
Description
本发明涉及的是汽车车速控制,尤其是一种基于语音识别控制汽车车速的控制器及其控制方法。
随着汽车持有率的不断上升,随之而来的交通事故也成直线型的上升,其中错将油门当刹车踩的事故屡见不鲜,新手开车,最初极易犯的错误是:想踩刹车,但不知怎么的却踩到了油门。其实,出现这种失误的岂止新手,“老司机”因疲劳驾驶或注意力不集中,犯这种错误的也不在少数。因此,急切地需要能轻松而又不会因误操作启动的车速控制器。
发明内容
本发明的目的是针对上述不足之处提供一种语音识别汽车车速控制器及其控制方法,是一种基于人工智能语音识别技术的控制器,汽车钥匙启动汽车的同时也启动语音识别芯片,每使用一次汽车钥匙,语音识别芯片都会刷新语音数据库,重新进行身份识别,储存声音信息;通过自动识别驾驶者语言中关于车速的数字,达到汽车中央控制器ECU对车速进行精确控制的目的,最大程度的避免了由脚来控制油门带来的种种错误操作及其引起的各种事故。
一种语音识别汽车车速控制器及其控制方法是采取以下技术方案实现的:
一种语音识别汽车车速控制器包括语音识别模块和汽车中央控
制器ECU,语音识别模块包括麦克风阵列和语音识别芯片,麦克风阵列与语音识别芯片相连;语音识别芯片与汽车中央控制器ECU相连;语音识别模块安装在汽车驾驶室控制面板中,接收设定的语音信号,并将该语音信号传输给汽车中央控制器ECU,汽车中央控制器ECU收到该语音信号后,其输出控制电控喷油器的脉冲信号发生改变,从而达到改变汽车车速的目的;
汽车钥匙开关与语音识别芯片的复位端相连,司机每使用一次汽车钥匙,钥匙芯片重启一次语音识别系统,对司机的声音进行采集、分析、储存;从而保证的司机语音的唯一性,即谁启动汽车就听谁的语音控制。
所述麦克风阵列接收司机的语音输入,用于信源定位识别;所述麦克风阵列对噪声十分敏感,能最大限度将环境背景声音滤掉,只剩下需要的声波,是自动语音识别定位一个关键的预处理部件。
所述语音识别芯片采用特定人语音识别芯片,针对指定人的语音识别,其他人的话不识别,预先将使用者的语音参考样本存入当成比对的资料库。
所述特定人语音识别芯片采用市售的SPCE061A语音识别芯片,这个芯片不是唯一的选择,可以根据实际情况选择语音识别芯片。
所述麦克风阵列采用市售的基于微机电系统MEMS的麦克风阵列,是由STM32F4微控制器和MEMS麦克风组成的一个硬件音频信号同步采集处理系统,其信号捕捉能力相当于8个采样率高达48KHz的麦克风。
一种语音识别汽车车速控制器的控制方法包括如下步骤:
1)当插入汽车钥匙时,语音识别系统的复位端接受到汽车钥匙芯片信息,语音识别系统自动擦除语音识别芯片中随机存取存储器RAM的内容,为语音训练做准备;
2)当语音识别芯片中随机存取存储器RAM的信息被清除后,自动转入训练模式,语音识别系统的语音输出端发出语音信号,通过车载扬声器播放语音提示,提示用户语音训练已启动;
3)用户按照系统提示依次对各条命令进行训练;在训练过程中,如训练成功则由语音提示进行下一条命令进行训练,若失败,则提示用户继续训练此条语音;
4)全部命令训练完毕后系统准备进行语音辨识
当向语音识别汽车车速控制器发出语音命令时,声波通过麦克端口输入,将相应的信号传递到语音识别芯片,经编解码电路和数字信号处理后,在语音识别芯片中与预先植入的语音库中的命令进行比较辨识,根据辨识的结果进行判断,转换为能被系统辨识的信号,从而锁定特定人也就是汽车司机语音,进行语音跟踪控制;
步骤4)中,当用户在行驶中发出语音命令时,语音识别系统识别司机对车速的要求后,将音频信号传输到汽车中央控制器ECU,由汽车中央控制器ECU控制喷油器的喷油量,从而实现了对车速的实时控制。
本发明优点:采用语音控制,可有效地控制汽车油门,将传统的由脚控制油门改为语音控制油门及车速,将模糊控制变为精确控制,
本发明中独特的特定人语音识别技术有效的保证了司机语音的独特性,保证驾驶的安全性,系统结构简单,使用方便,适合推广。
以下将结合附图对本发明作进一步说明:
图1是本发明控制器的工作原理框图;
图2是本发明采用的语音识别芯片的结构图。
参照附图1~2,本发明一种语音识别汽车车速控制器包括语音识别模块和汽车中央控制器ECU,语音识别模块包括麦克风阵列和语音识别芯片,麦克风阵列与语音识别芯片相连;语音识别芯片与汽车中央控制器ECU相连;语音识别模块安装在汽车驾驶室控制面板中,接收设定的语音信号,并将该语音信号传输给汽车中央控制器ECU,汽车中央控制器ECU收到该语音信号后,其输出控制电控喷油器的脉冲信号发生改变,从而达到改变汽车车速的目的;
汽车钥匙开关与语音识别芯片的复位端相连,司机每使用一次汽车钥匙,钥匙芯片重启一次语音识别系统,对司机的声音进行采集、分析、储存;从而保证的司机语音的唯一性,即谁启动汽车就听谁的语音控制。
所述麦克风阵列接收司机的语音输入,用于信源定位识别;所述麦克风阵列对噪声十分敏感,能最大限度将环境背景声音滤掉,只剩下需要的声波,是自动语音识别定位一个关键的预处理部件。
所述语音识别芯片采用特定人语音识别芯片,针对指定人的语音
识别,其他人的话不识别,预先将使用者的语音参考样本存入当成比对的资料库。
所述特定人语音识别芯片采用市售的SPCE061A语音识别芯片,这个芯片不是唯一的选择,可以根据实际情况选择语音识别芯片。
所述麦克风阵列采用市售的基于微机电系统MEMS的麦克风阵列,是由STM32F4微控制器和MEMS麦克风组成的一个硬件音频信号同步采集处理系统,其信号捕捉能力相当于8个采样率高达48KHz的麦克风。
一种语音识别汽车车速控制器的控制方法包括如下步骤:
1)当插入汽车钥匙时,语音识别系统的复位端接受到汽车钥匙芯片信息,语音识别系统自动擦除语音识别芯片中随机存取存储器RAM的内容,为语音训练做准备;
2)当语音识别芯片中随机存取存储器RAM的信息被清除后,自动转入训练模式,语音识别系统的语音输出端发出语音信号,通过车载扬声器播放语音提示,提示用户语音训练已启动;
3)用户按照系统提示依次对各条命令进行训练;在训练过程中,如训练成功则由语音提示进行下一条命令进行训练,若失败,则提示用户继续训练此条语音;
4)全部命令训练完毕后系统准备进行语音辨识
当向语音识别汽车车速控制器发出语音命令时,声波通过麦克端口输入,将相应的信号传递到语音识别芯片,经编解码电路和数字信号处理后,在语音识别芯片中与预先植入的语音库中的命令进行比较辨识,
根据辨识的结果进行判断,转换为能被系统辨识的信号,从而锁定特定人也就是汽车司机语音,进行语音跟踪控制;
步骤4)中,当用户在行驶中发出语音命令时,语音识别系统识别司机对车速的要求后,将音频信号传输到汽车中央控制器ECU,由汽车中央控制器ECU控制喷油器的喷油量,从而实现了对车速的实时控制。
麦克风阵列由音源方向测定、数据融合、自动语音识别和自动说话人确认模块组成;其中,音频方向测定用于运行三个不同的音频方向估算算法;数据融合负责推断方向,自动语音识别利用传入的音频信号增强主音源信号强度,衰减主音源周围的其它音频信号。最后,自动说话人确认识别某些关键词汇,再利用相关特征与说话人匹配;如果语音识别任务没有成功,则反馈给数据融合系统,估算新方向传入的语音,然后驱动麦克风阵列指向该方向。
汽车中央控制器ECU(Electronic Control Unit)电子控制单元,又称“行车电脑”、“车载电脑”等。从用途上讲则是汽车专用微机控制器。它和普通的电脑一样,由微处理器(CPU)、存储器(ROM、、RAM)、输入/输出接口(I/O)、模数转换器(A/D)以及整形、驱动等大规模集成电路组成。用一句简单的话来形容就是“ECU就是汽车的大脑”。
ECU通过各种传感器包括温度传感器、压力传感器、旋转传感器、流量传感器、位置传感器、氧气传感器、爆震传感器和本发明中所述的语音识别信号等收集发动机的各部分工作状态信息,由负责传
输的线路发送至ECU。在ECU接收了这些信号之后,就会对各种信号进行分析,便会得知发动机各部件功能处于什么样的状态,运作情况如何的信息,然后根据事先写好的程序自动运算,在这个状态下应该让哪些执行元件做哪些事情,继而将指令发送到执行元件,命令执行元件工作。
语音识别系统识别司机语音中对车速的要求后,将音频信号传输到汽车中央控制器ECU,由ECU控制喷油器的喷油量,实现了对车速的实时控制。
本发明将汽车驾驶员作为特定人,特定人语音识别在使用前必须要进行语音定位,一般按照机器提示训练2遍语音词条即可使用。对于嵌入式系统而言,语音识别硬件组成要考虑很多其它因素,首先由于成本的限制,一般使用定点DSP,这意味着算法的复杂度受到限制;其次,对产品化有各种严格的限制,这就需要一个高度集成的硬件DSP,因此最理想的硬件组成是系统级的芯片。
本发明以语音识别芯片SPCE061A控制器为构建语音辨识系统的开发平台。语音识别芯片SPCE061A是一款16位独具语音特色的控制器,片内采用的μ‘nSPTM(microcontroller and signal processor)核心处理器,具有较高的处理速度,能够完成16位算术逻辑运算、16×16位硬件乘法运算和DSP内积滤波运算、能够快速处理复杂的数字信号,不需要额外的专用语音控制芯片,就能实现语音的编解码等,既节省了设计成本,又能满足一定的控制要求。控制器采用模块化架构,集成了ICE(在线仿真)、锁相环振荡器、时基控制器、7通
道10位AD转换器、单通道AD+AGC(自动增益)转换器、双通道10位DA转换器、通用异步通信接口、串行输入输出接口、电压监控等模块,结构图如图2所示。
语音识别芯片SPCE061A配有专用的麦克接口用于语音训练和辨识阶段的语音输入,16位的定时/计数器用于语音信号的控制采样,内置的硬件乘法器和内积运算保证了辨识算法的运行。在软件方面,提供一个语音辨识函数库bsrv222SDL.lib,足以完成系统对特定人语音的连续辨识,包括训练函数和辨识函数,还可以将训练好的特征模型导入和导出等。由于语音命令的特征模型要保存到RAM中,所以首先擦除语音识别芯片SPCE061A中的RAM,与语音训练做准备。训练模式启动后,系统播放语音提示,提示用户语音训练已启动,接下来用户可按照系统提示依次对各条命令进行训练,在训练过程中,如训练成功则由语音提示进行下一条命令进行训练,若失败,也会提示用户继续训练此条语音,全部命令训练完毕后系统将准备进行语音辨识;当向控制器发出语音命令时,声波通过麦克端口输入,将相应的信号传递到SP-CEO61A处理芯片,经编解码电路和数字信号处理后,在芯片中通过相关程序与预先植入的语音库中的命令进行比较辨识,根据辨识的结果进行判断,转换为能被系统辨识的信号,从而对被监控系统进行控制。
现在汽车钥匙均使用芯片,为磁性芯片系统。汽车点火锁芯的读识线圈将对钥匙的芯片进行读取;芯片都有固定的数字信息。汽车钥匙开关与语音识别芯片SPCE061A的复位端相连,当司机每使用一次
汽车钥匙,钥匙芯片则会重启一次语音识别系统,对司机的声音进行采集、分析、储存。保证的司机语音的唯一性,也就是谁启动汽车就听谁的语音控制。
本发明采用语音控制,有效地控制汽车油门,将传统的由脚控制油门改为语音控制油门及车速,将模糊控制变为精确控制,保证驾驶的安全性。
Claims (8)
- 一种语音识别汽车车速控制器,其特征在于:包括语音识别模块和汽车中央控制器ECU,语音识别模块包括麦克风阵列和语音识别芯片,麦克风阵列与语音识别芯片相连;语音识别芯片与汽车中央控制器ECU相连;语音识别模块安装在汽车驾驶室控制面板中,接收设定的语音信号,并将该语音信号传输给汽车中央控制器ECU,汽车中央控制器ECU收到该语音信号后,其输出控制电控喷油器的脉冲信号发生改变;汽车钥匙开关与语音识别芯片的复位端相连。
- 根据权利要求1所述的语音识别汽车车速控制器,其特征在于:所述麦克风阵列接收司机的语音输入,用于信源定位识别。
- 根据权利要求1所述的语音识别汽车车速控制器,其特征在于:所述语音识别芯片采用特定人语音识别芯片。
- 根据权利要求1所述的语音识别汽车车速控制器,其特征在于:所述特定人语音识别芯片采用SPCE061A语音识别芯片。
- 根据权利要求1所述的语音识别汽车车速控制器,其特征在于:所述麦克风阵列采用基于微机电系统MEMS的麦克风阵列。
- 权利要求1所述的一种语音识别汽车车速控制器的控制方法,其特征在于,包括如下步骤:1)当插入汽车钥匙时,语音识别系统的复位端接受到汽车钥匙芯片信息,语音识别系统自动擦除语音识别芯片中随机存取存储器RAM的内容,为语音训练做准备;2)当语音识别芯片中随机存取存储器RAM的信息被清除后,自动转入训练模式,语音识别系统的语音输出端发出语音信号,通过车载扬声器播放语音提示,提示用户语音训练已启动;3)用户按照系统提示依次对各条命令进行训练;在训练过程中,如训练成功则由语音提示进行下一条命令进行训练,若失败,则提示用户继续训练此条语音;4)全部命令训练完毕后系统准备进行语音辨识当向语音识别汽车车速控制器发出语音命令时,声波通过麦克端口输入,将相应的信号传递到语音识别芯片,经编解码电路和数字信号处理后,在语音识别芯片中与预先植入的语音库中的命令进行比较辨识,根据辨识的结果进行判断,转换为能被系统辨识的信号,从而锁定汽车司机语音,进行语音跟踪控制。
- 根据权利要求6所述的一种语音识别汽车车速控制器的控制方法,其特征在于:司机每使用一次汽车钥匙,钥匙芯片重启一次语音识别系统,对司机的声音进行采集、分析、储存;从而保证的司机语音的唯一性,即谁启动汽车就听谁的语音控制。
- 根据权利要求6所述的一种语音识别汽车车速控制器的控制方法,其特征在于:步骤4)中,当用户在行驶中发出语音命令时,语音识别系统识别司机对车速的要求后,将音频信号传输到汽车中央控制器ECU,由汽车中央控制器ECU控制喷油器的喷油量,实现对车速的实时控制。
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