def getFrequenciesFromMicrophone(length=10.0, storeWaveFilename=None):
'''
records for length (=seconds) a set of frequencies from the microphone.
If storeWaveFilename is not None, then it will store the recording on disk
in a wave file.
Returns a list of frequencies detected.
TODO -- find a way to test... or at least demo
'''
if "numpy" in base._missingImport:
raise AudioSearchException("Cannot run getFrequenciesFromMicrophone without numpy installed")
import numpy
environLocal.printDebug("* start recording")
storedWaveSampleList = recording.samplesFromRecording(seconds=length,
storeFile=storeWaveFilename,
recordChunkLength=audioChunkLength)
environLocal.printDebug("* stop recording")
freqFromAQList = []
for data in storedWaveSampleList:
samps = numpy.fromstring(data, dtype=numpy.int16)
freqFromAQList.append(autocorrelationFunction(samps, recordSampleRate))
return freqFromAQList
def getFrequenciesFromMicrophone(length=10.0, storeWaveFilename=None):
'''
records for length (=seconds) a set of frequencies from the microphone.
If storeWaveFilename is not None, then it will store the recording on disk
in a wave file.
Returns a list of frequencies detected.
TODO -- find a way to test... or at least demo
'''
if "numpy" in base._missingImport:
raise AudioSearchException(
"Cannot run getFrequenciesFromMicrophone without numpy installed")
import numpy
environLocal.printDebug("* start recording")
storedWaveSampleList = recording.samplesFromRecording(
seconds=length,
storeFile=storeWaveFilename,
recordChunkLength=audioChunkLength)
environLocal.printDebug("* stop recording")
freqFromAQList = []
for data in storedWaveSampleList:
samps = numpy.fromstring(data, dtype=numpy.int16)
freqFromAQList.append(autocorrelationFunction(samps, recordSampleRate))
return freqFromAQList
