4396573e860d553825702006aa335989356b45c8,inaSpeechSegmenter/segmenter.py,Segmenter,batch_process,#Segmenter#,267

Before Change

    def batch_process(self, linput, loutput, verbose=False):
        fg = featGenerator(linput.copy())
        for i, (mspec, loge, difflen) in enumerate(fg):
            if verbose == True:
                print(i, linput[i], loutput[i])
            lseg = self.segment_feats(mspec, loge, difflen, 0)
            seg2csv(lseg, loutput[i])
        
def seg2csv(lseg, fout=None):
    df = pd.DataFrame.from_records(lseg, columns=["labels", "start", "stop"])
    df.to_csv(fout, sep="\t", index=False)

After Change

    def batch_process(self, linput, loutput, tmpdir=None, verbose=False, skipifexist=False, nbtry=1, trydelay=2.):
        lmsg = []
        fg = featGenerator(linput.copy(), loutput.copy(), tmpdir, self.ffmpeg, skipifexist, nbtry, trydelay)
        for feats, msg in fg:
            lmsg += msg
            if feats is None:
                break
            mspec, loge, difflen = feats
            //if verbose == True:
            //    print(i, linput[i], loutput[i])
            b = time.time()
            lseg = self.segment_feats(mspec, loge, difflen, 0)
            seg2csv(lseg, loutput[len(lmsg) -1])
            lmsg[-1] += " " + str(time.time() -b)
        return lmsg

def seg2csv(lseg, fout=None):
    df = pd.DataFrame.from_records(lseg, columns=["labels", "start", "stop"])

Instances