CN1555175A - Method and device for detecting ring responce in CDMA system - Google Patents
Method and device for detecting ring responce in CDMA system Download PDFInfo
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- CN1555175A CN1555175A CNA2003101204718A CN200310120471A CN1555175A CN 1555175 A CN1555175 A CN 1555175A CN A2003101204718 A CNA2003101204718 A CN A2003101204718A CN 200310120471 A CN200310120471 A CN 200310120471A CN 1555175 A CN1555175 A CN 1555175A
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Abstract
In CDMA system, since every data frame of the high frequency CELP coding data contains audio delay, rough frequency analysis to the input CELP coding audio signals freely is possible to be realized. Utilizing the audio delay information and intervals of arrived frames, the frequency information of the input audio signals can be computed.
Description
Technical field:
The present invention relates in a kind of cdma system the method and apparatus that detects be responded in ring, belong to mobile communication equipment and make the field.
Background technology:
Traditionally, there are two kinds of methods can discern audio frequency: to carry out frequency analysis or use audio detection hardware by software with natural frequency.Software analysis can accurately be discerned specific sound frequency, works alone and audio detection hardware can not take processor resource.
Summary of the invention:
The purpose of design is to determine the accurate response time in CDMA mobile phone exhalation side with effective cost.Do not respond state and answer state owing to there is a kind of forced signal can distinguish ring, the present invention adopts the frequency information of ring audio frequency to carry out reliable response status and detects.Also introduced a kind of new audio analysis method in addition, it surpasses traditional method and can satisfy requirement cheaply on functionality.
Design: in cdma system, owing to all comprise the audio frequency sluggishness in each Frame of CELP coded data of high frequency, free must carrying out rough frequency analysis and can realize to the CELP coding audio signal of input.Utilize the interval of sluggish information of audio frequency and frame arrival, just can calculate the frequency information of the audio signal of input.
Successful audio acknowledgement detection algorithm need be dealt with the tone of all different rings of the whole world.This algorithm owing to respond ring a large amount of different kinds (at least 96 different countries adopt the tone of 87 kinds of uniquenesses) arranged, if only can detect pre-determined tone and not have practical significance.And, specify certain audio frequency to need the user to import or to the understanding of regional information, this has reduced the user friendly of mobile telephone equipment.Therefore, need to introduce a kind of intelligent method that can discern audio mode.In ring, tone has stable audio frequency in very long a period of time, so frequency analysis does not need very high resolution.Voice data in the cdma system enters the voice packet of CELP coding, and all High Data Rate frames all comprise the sluggish information of audio frequency.Speech frame arrives with 20 milliseconds frame period, and this provides good timing reference and enough resolution to analysis.By utilizing audio frequency sluggishness and frame period, amount of calculation that just can be very little is finished rough frequency analysis.
This algorithm utilizes audio frequency sluggishness and the sequential in the forward communications voiced frame to realize the audio frequency detection at interval.Algorithm has two processes: identification and detection.Identifying detects and notes the parameter of intrinsic audio frequency in the calling procedure; Parameter under the testing process service recorder is followed the trail of intrinsic audio frequency.Here tone and saltus step parameter are provided with certain restriction, guarantee that the audio frequency of record belongs to effective ringing range.The dither technique that goes of windowing is used to obtain level and smooth square wave, conveniently to analyze efficiently.Because the audio frequency sluggishness has a large amount of variety classeses, for Accurate Analysis, their value need be carried out filtering.A simple low pass filter just can obtain good result, but also can introduce undesirable error on the maximal audio sluggishness simultaneously.The jitter filter that goes with windowing replaces just obtaining effect preferably on the audio frequency sluggishness.Go jitter filter keep a part sampled value be a tabulation.From the value of this filter output will be maximum the windowing.Result of the test shows goes jitter filter to get fine in work aspect the level and smooth audio frequency sluggishness.
In order to obtain accurate detection, signal is at first through the past jitter filter.Filtered signal is the identification of process audio identification process earlier.Following various restriction to the audio frequency different qualities need be verified in this process, is used for detecting the validity of audio frequency:
1. detected first audio frequency must include signal phase and rest stage;
2. audio frequency must be within the audiorange of the response ring of expecting;
3. saltus step must be within the scope that standard is indicated;
In case recognize a kind of effective tone signal, just its characteristic records got off so that ensuing voice signal is carried out continuous detection.The characteristic of record includes audio frequency sluggishness maximum in the saltus step of signal phase neutralisation signals.Behind the next audio frequency of record, just it is carried out continuous tracking and disappear up to audio frequency.Detected hysteresis compare with the parameter of noting too much departing from takes place after, perhaps after one section sluggishness, do not record audio frequency, the then algorithm report generation of replying.
Algorithm can further be divided into the subprocess of 3 separation: transition detection, audio identification and continuous detecting.The transition detection process should spend jitter filter to input signal filtering, and calls suitable process when detecting the variation of audio frequency sluggishness.Before effectively audio frequency parameter obtained identification and record, the saltus step of audio frequency sluggishness caused calling the audio identification process.The filtered audio frequency hysteresis of audio identification process analysis procedure analysis is to obtain tone and saltus step information.If in a long relatively time, can not identify audio frequency, the overtime and report of algorithm detects and replys so.Then note its parameter when identifying a kind of effective audio frequency.After audio frequency parameter was noted, the saltus step of filtered audio frequency hysteresis caused calling continuous detecting.The continuous detecting process with the audio frequency parameter noted as reference, each audio sample that checking is transmitted.If too many frame is compared with the audio value of expectation and is offset, so just mean to have detected and reply.
In the cdma system equipment that detects is responded in ring, it comprises a new frame, speech recognition equipment, voice signal checkout gear, waits for that next frame and connecting device constitute, not detecting legal voice signal in the new frame records legal voice to voice signal to speech recognition equipment, the new frame and detects, potential voice signal is to waiting for next frame, overtime to connecting device in the speech recognition equipment, and voice coincide to waiting for that next frame, too much shifted signal are to connecting device during voice signal detected.
Description of drawings:
Fig. 1 has shown a kind of snapshots in time of the sluggish information of audio frequency of typical ring.
Fig. 2 has shown the sluggish information of audio frequency.
The top secondary figure of Fig. 3 has shown two kinds of different sinusoidal waveforms.
Fig. 4 is a block diagram of the present invention.
Embodiment:
When the CELP speech reconstructing, search respective coding this time and need use the audio frequency sluggishness.It is the calculating audio frequency of speech frame.For fixing tone, the audio frequency sluggishness is particularly useful in frequency analysis.Fig. 1 has shown a kind of snapshots in time of the sluggish information of audio frequency of typical ring.About 24 seconds of this ifm diagram span.Phone is answered in the time of 19 seconds.There is not sound in the forward direction voice channel in 2.5 seconds of beginning.2.5 between-19 seconds seconds, have periodic ring audio frequency to exist.First cycle period (2.5-4 second) of responding ring is not incomplete, and this is because 2.5 seconds " deaf " stage of mobile device.Though the ringing signal in the jingle bell response stage is perfect flat stable phase very not, can the value of observing be 16.4 spike.Go jitter filter can eliminate spiking by employing, this will set forth in the paragraph afterwards.
Be necessary to notice that a bit zero sluggish stage may mean zero sound amplitude, may mean does not have available tone information yet.For the purpose of analyzing, we can not be equivalent to zero sound amplitude with there being audio-frequency information to regard as, because in empty frame, having only seldom needs the frequency information understood.Obviously, by the sluggish information of analyzing audio, we can also determine when that voice activity exists.This shows with figure in Fig. 2, wherein blue signal representative voice amplitude and green is the value of audio frequency sluggishness.The beginning of the beginning of audio frequency sluggishness and end and sound amplitude and end coincide very goodly.
The value of audio frequency sluggishness even good reference can also be provided in double-audio signal.The final audio frequency sluggishness of double-audio signal is the higher sound wave of mixed signal medium frequency, and it can be observed by two sinusoidal waveforms of stack different frequency in signal.The top secondary figure of Fig. 3 has shown two kinds of different sinusoidal waveforms: green waveform is 440 hertz a cosine wave, and red waveform is 480 hertz of cosine waves.Synthetic 460 hertz of waveforms with 40 hertz of modulation that can obtain in the Lower Half component of these waveforms.Because the audio frequency sluggishness demonstrates the higher-frequency composition of mixed signal usually, so the expectation audio frequency sluggishness of this double-audio signal is 17.4 (just 460 hertz).Response ring among Fig. 1 and Fig. 2 is made up of 440 hertz and 480 hertz signals.In Fig. 1, can observe maximum audio frequency sluggishness and appear at the connection stage, reach 16.Error wherein only has (16-17.4)/17.4=-8%.
In the cdma system equipment that detects is responded in ring, it comprises a new frame, speech recognition equipment, voice signal checkout gear, waits for that next frame and connecting device constitute, not detecting legal voice signal in the new frame records legal voice to voice signal to speech recognition equipment, the new frame and detects, potential voice signal is to waiting for next frame, overtime to connecting device in the speech recognition equipment, and voice coincide to waiting for that next frame, too much shifted signal are to connecting device during voice signal detected.
What need understand is: the foregoing description is just to explanation of the present invention, rather than limitation of the present invention, and any innovation and creation that do not exceed connotation of the present invention all fall within the scope of protection of the present invention.
Claims (7)
1, in a kind of cdma system the method that detects is responded in ring, be it is characterized in that: utilize the interval of sluggish information of audio frequency and frame arrival, calculate the frequency information of the audio signal of input.
2, in the cdma system according to claim 1 the method that detects is responded in ring, be it is characterized in that: utilize audio frequency sluggishness and frame period, finish rough frequency analysis by amount of calculation.
3, in the cdma system according to claim 1 the method that detects is responded in ring, be it is characterized in that: will not have audio-frequency information to regard as and be equivalent to zero sound amplitude.
4, in the cdma system according to claim 1 the method that detects is responded in ring, be it is characterized in that: utilize audio frequency sluggishness and sequential in the forward communications voiced frame to realize the audio frequency detection at interval, its algorithm has two processes: identification and detection; Identifying detects and notes the parameter of intrinsic audio frequency in the calling procedure; Parameter under the testing process service recorder is followed the trail of intrinsic audio frequency.
5, in the cdma system according to claim 1 the method that detects is responded in ring, it is characterized in that: in order to obtain accurate detection, signal is at first through the past jitter filter, and filtered signal is the identification of process audio identification process earlier, to detect the validity of audio frequency:
I) detected first audio frequency must include signal phase and rest stage,
Ii) audio frequency must be within the audiorange of response ring of expectation,
Iii) saltus step must be within the scope that standard is indicated.
6, in the cdma system according to claim 4 the method that detects is responded in ring, it is characterized in that: algorithm can further be divided into the subprocess of 3 separation: 1. the transition detection process should spend jitter filter to input signal filtering, and when detecting the variation of audio frequency sluggishness, call suitable process, before effectively audio frequency parameter obtained identification and record, the saltus step of audio frequency sluggishness caused calling the audio identification process; 2. the filtered audio frequency hysteresis of audio identification process analysis procedure analysis is to obtain tone and saltus step information, if in a long relatively time, can not identify audio frequency, overtime and the report of algorithm detects and replys so, then note its parameter when identifying a kind of effective audio frequency, after audio frequency parameter was noted, the saltus step of filtered audio frequency hysteresis caused calling continuous detecting; 3. as reference, each audio sample that checking is transmitted is offset if too many frame is compared with the audio value of expectation the continuous detecting process, so just means to have detected and replys with the audio frequency parameter noted.
7, in a kind of cdma system the equipment that detects is responded in ring, it is characterized in that: it comprises a new frame, speech recognition equipment, voice signal checkout gear, waits for that next frame and connecting device constitute, not detecting legal voice signal in the new frame records legal voice to voice signal to speech recognition equipment, the new frame and detects, potential voice signal is to waiting for next frame, overtime to connecting device in the speech recognition equipment, and voice coincide to waiting for that next frame, too much shifted signal are to connecting device during voice signal detected.
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| Application Number | Priority Date | Filing Date | Title |
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| CNA2003101204718A CN1555175A (en) | 2003-12-22 | 2003-12-22 | Method and device for detecting ring responce in CDMA system |
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| CNA2003101204718A CN1555175A (en) | 2003-12-22 | 2003-12-22 | Method and device for detecting ring responce in CDMA system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015021938A3 (en) * | 2013-08-15 | 2015-04-09 | Huawei Technologies Co., Ltd. | Adaptive high-pass post-filter |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015021938A3 (en) * | 2013-08-15 | 2015-04-09 | Huawei Technologies Co., Ltd. | Adaptive high-pass post-filter |
| US9418671B2 (en) | 2013-08-15 | 2016-08-16 | Huawei Technologies Co., Ltd. | Adaptive high-pass post-filter |
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