but will get rid of more of the background noise. Filtering out frequencies outside that range will make the voice sound like. As noted previously, the telephone company did a lot of work on which frequency ranges are actually needed by humans for speech comprehension. As others have noted, that starts with a directional microphone as focused on the sound you want to keep as possible. In the practical sense.įirst step is to get as noise-free a recording as possible. In the completely general case, this is an unsolved problem. But the problem is that the app starts recording all background noise, including fan/AC duct sounds.Ĭan anyone help me with analysing the buffer to detect human voice only? Or are there any other alternative ways to detect human voice from the audio recorder input? The buffer is converted to an float value and if it increases by a certain amount, it is assumed that there is some sound in the background and recording is started. Now I am able to detect voice input coming from the audio recorder and I can analyse the audio buffer. TotalAbsValue += Math.abs( sample ) / (numberOfReadBytes/2) Sample = (short)( (audioBuffer) | audioBuffer << 8 ) NumberOfReadBytes = audioRecorder.read( audioBuffer, 0, bufferSizeInBytes) įor( int i=0 i I use the following code to read input from the audio recorder and analyse the buffer : float totalAbsValue = 0.0f I am trying to implement automatic voice recording functionality, similar to the Talking Tom app.#ANDROID MALWARE SPEECH RECORDER CODE#
0 kommentar(er)
