def main(signalcsv="signals.txt",
noisecsv="noise.txt",
snrcsv="snr.txt",
algocsv="algo.txt",
tmppath="tmp/",
resultpath="res/",
metricspath="eval/",
clean_temps=False):
signal_list = readcsv(signalcsv, True)
noise_list = readcsv(noisecsv)
snrlist = readcsv(snrcsv)
try:
snrlist = [float(x) for x in snrlist]
except ValueError:
print("Failed reading SNR definitions as float-values")
pybin = "../bin/python"
algolist = [
#[pybin, "sos-vad.py"],
[pybin, "ad-ltsd.py", "batch"],
[pybin, "ltacs-vad.py", "batch"],
[pybin, "rse-vad.py", "batch"],
[pybin, "snac-vad.py", "batch"]
]
print(signal_list)
for signal in signal_list:
speech.combine([signal], noise_list, snrlist, tmppath)
sig_fn = os.path.basename(signal[0])
print(signal, tmppath)
shutil.copyfile(
"signal8k/" + sig_fn,
tmppath + os.path.splitext(sig_fn)[0] + "_clean_40.0.flac")
call_vads(algolist, tmppath, resultpath)
for f in os.listdir(tmppath):
os.remove(tmppath + f)
evaluation(resultpath, metricspath)
def main(signalcsv="signals.txt", noisecsv="noise.txt", snrcsv="snr.txt", algocsv="algo.txt", tmppath="tmp/", resultpath="res/", metricspath="eval/", clean_temps=False):
signal_list = readcsv(signalcsv, True)
noise_list = readcsv(noisecsv)
snrlist = readcsv(snrcsv)
try:
snrlist = [float(x) for x in snrlist]
except ValueError:
print("Failed reading SNR definitions as float-values")
pybin = "../bin/python"
algolist = [
#[pybin, "sos-vad.py"],
[pybin, "ad-ltsd.py", "batch"],
[pybin, "ltacs-vad.py", "batch"],
[pybin, "rse-vad.py", "batch"] ,
[pybin, "snac-vad.py", "batch"]
]
print(signal_list)
for signal in signal_list:
speech.combine([signal], noise_list, snrlist, tmppath)
sig_fn = os.path.basename(signal[0])
print(signal, tmppath)
shutil.copyfile("signal8k/"+sig_fn, tmppath+os.path.splitext(sig_fn)[0]+"_clean_40.0.flac")
call_vads(algolist, tmppath, resultpath)
for f in os.listdir(tmppath):
os.remove(tmppath+f)
evaluation(resultpath, metricspath)
def preprocess(signalcsv="signals.txt", noisecsv="noise.txt", snrcsv="snr.txt", algocsv="algo.txt", tmppath="tmp/", resultpath="res/"):
"""
combine signals and noises with all SNRs and write audio output to tmppath
with given samplerate
labels from signalcsv
write to tmppath/signalname_noisename_+-SNR.flac
call algorithm from algorithm.csv
which writes to predictiondir/algoname_signalname_noisename_+-SNR.txt
"""
signal_list = readcsv(signalcsv, True)
noise_list = readcsv(noisecsv)
snrlist = readcsv(snrcsv)
try:
snrlist = [float(x) for x in snrlist]
except ValueError:
print("Failed reading SNR definitions as float-values")
speech.combine(signal_list, noise_list, snrlist, tmppath)
def preprocess(signalcsv="signals.txt",
noisecsv="noise.txt",
snrcsv="snr.txt",
algocsv="algo.txt",
tmppath="tmp/",
resultpath="res/"):
"""
combine signals and noises with all SNRs and write audio output to tmppath
with given samplerate
labels from signalcsv
write to tmppath/signalname_noisename_+-SNR.flac
call algorithm from algorithm.csv
which writes to predictiondir/algoname_signalname_noisename_+-SNR.txt
"""
signal_list = readcsv(signalcsv, True)
noise_list = readcsv(noisecsv)
snrlist = readcsv(snrcsv)
try:
snrlist = [float(x) for x in snrlist]
except ValueError:
print("Failed reading SNR definitions as float-values")
speech.combine(signal_list, noise_list, snrlist, tmppath)
