This is a python code snippet that I use for splitting files as per necessity. I use the pydub library from https://github.com/jiaaro/pydub. You can modify the snippet to suit your requirement. from pydub import AudioSegment t1 = t1 * 1000 #Works in milliseconds t2 = t2 * 1000 newAudio = AudioSegment.from_wav(“oldSong.wav”) newAudio = newAudio[t1:t2] newAudio.export(‘newSong.wav’, … Read more
You may want to look at the Goertzel algorithm if you’re trying to detect specific frequencies such as DTMF input. There is a C# DTMF generator/detector library on Sourceforge based on this algorithm.
Basically as described by the snippet in the first answer, but instead of the BufferedInputStream use AudioSystem.getAudioInputStream(File) to get the InputStream. Using the audio stream as obtained from AudioSystem will ensure that the headers are stripped, and the input file decode to a byte[] that represents the actual sound frames/samples – which can then be … Read more
Try uploading the file as form data audioRecorder.exportWAV(function(blob) { var url = (window.URL || window.webkitURL).createObjectURL(blob); console.log(url); var filename = <?php echo $filename;?>; var data = new FormData(); data.append(‘file’, blob); $.ajax({ url : “lib/vocal_render.php”, type: ‘POST’, data: data, contentType: false, processData: false, success: function(data) { alert(“boa!”); }, error: function() { alert(“not so boa!”); } }); }); … Read more
Per the documentation, scipy.io.wavfile.read(somefile) returns a tuple of two items: the first is the sampling rate in samples per second, the second is a numpy array with all the data read from the file: from scipy.io import wavfile samplerate, data = wavfile.read(‘./output/audio.wav’)