#! /usr/bin/env python """ this file was written by Paul Brossier  it is released under the GNU/GPL license.""" import sys#from aubio.task import * usage = "usage: %s [options] -i soundfile" % sys.argv[0]usage += "\n help: %s -h" % sys.argv[0] def parse_args():    from optparse import OptionParser    parser = OptionParser(usage=usage)    parser.add_option("-i", "--input", action = "store", dest = "source_file",            help="input sound file to analyse", metavar = "<source_file>")    parser.add_option("-m","--method",            action="store", dest="onset_method", default='default',            metavar = "<onset_method>",            help="onset detection method [default=default] \                    complexdomain|hfc|phase|specdiff|energy|kl|mkl")    # cutting methods    parser.add_option("-b","--beat",            action="store_true", dest="beat", default=False,            help="use beat locations")    """    parser.add_option("-S","--silencecut",            action="store_true", dest="silencecut", default=False,            help="use silence locations")    parser.add_option("-s","--silence",            metavar = "<value>",            action="store", dest="silence", default=-70,            help="silence threshold [default=-70]")            """    # algorithm parameters    parser.add_option("--samplerate",            metavar = "<freq>", type='int',            action="store", dest="samplerate", default=0,            help="samplerate at which the file should be represented")    parser.add_option("-B","--bufsize",            action="store", dest="bufsize", default=512,            metavar = "<size>", type='int',            help="buffer size [default=512]")    parser.add_option("-H","--hopsize",            metavar = "<size>", type='int',            action="store", dest="hopsize", default=256,            help="overlap size [default=256]")    parser.add_option("-t","--threshold",            metavar = "<value>", type="float",            action="store", dest="threshold", default=0.3,            help="onset peak picking threshold [default=0.3]")    parser.add_option("-c","--cut",            action="store_true", dest="cut", default=False,            help="cut input sound file at detected labels \                    best used with option -L")    """    parser.add_option("-D","--delay",            action = "store", dest = "delay", type = "float",            metavar = "<seconds>", default=0,            help="number of seconds to take back [default=system]\                    default system delay is 3*hopsize/samplerate")    parser.add_option("-C","--dcthreshold",            metavar = "<value>",            action="store", dest="dcthreshold", default=1.,            help="onset peak picking DC component [default=1.]")    parser.add_option("-M","--mintol",            metavar = "<value>",            action="store", dest="mintol", default=0.048,            help="minimum inter onset interval [default=0.048]")    parser.add_option("-L","--localmin",            action="store_true", dest="localmin", default=False,            help="use local minima after peak detection")    parser.add_option("-d","--derivate",            action="store_true", dest="derivate", default=False,            help="derivate onset detection function")    parser.add_option("-z","--zerocross",            metavar = "<value>",            action="store", dest="zerothres", default=0.008,            help="zero-crossing threshold for slicing [default=0.00008]")            """    # plotting functions    """    parser.add_option("-p","--plot",            action="store_true", dest="plot", default=False,            help="draw plot")    parser.add_option("-x","--xsize",            metavar = "<size>",            action="store", dest="xsize", default=1.,            type='float', help="define xsize for plot")    parser.add_option("-y","--ysize",            metavar = "<size>",            action="store", dest="ysize", default=1.,            type='float', help="define ysize for plot")    parser.add_option("-f","--function",            action="store_true", dest="func", default=False,            help="print detection function")    parser.add_option("-n","--no-onsets",            action="store_true", dest="nplot", default=False,            help="do not plot detected onsets")    parser.add_option("-O","--outplot",            metavar = "<output_image>",            action="store", dest="outplot", default=None,            help="save plot to output.{ps,png}")    parser.add_option("-F","--spectrogram",            action="store_true", dest="spectro", default=False,            help="add spectrogram to the plot")    """    parser.add_option("-v","--verbose",            action="store_true", dest="verbose", default=True,            help="make lots of noise [default]")    parser.add_option("-q","--quiet",            action="store_false", dest="verbose", default=True,            help="be quiet")    (options, args) = parser.parse_args()    if not options.source_file:        import os.path        if len(args) == 1:            options.source_file = args[0]        else:            print "no file name given\n", usage            sys.exit(1)    return options, args if __name__ == '__main__':    options, args = parse_args()     hopsize = options.hopsize    bufsize = options.bufsize    samplerate = options.samplerate    source_file = options.source_file     from aubio import onset, tempo, source, sink     s = source(source_file, samplerate, hopsize)    if samplerate == 0: samplerate = s.get_samplerate()     if options.beat:        o = tempo(options.onset_method, bufsize, hopsize)    else:        o = onset(options.onset_method, bufsize, hopsize)    o.set_threshold(options.threshold)     timestamps = []    total_frames = 0    # analyze pass    while True:        samples, read = s()        if o(samples):            timestamps.append (o.get_last())            if options.verbose: print "%.4f" % o.get_last_s()        total_frames += read        if read < hopsize: break    del s    # print some info    nstamps = len(timestamps)    duration = float (total_frames) / float(samplerate)    info = 'found %(nstamps)d timestamps in %(source_file)s' % locals()    info += ' (total %(duration).2fs at %(samplerate)dHz)\n' % locals()    sys.stderr.write(info)     # cutting pass    if options.cut and nstamps > 0:        # generate output filenames        import os        source_base_name, source_ext = os.path.splitext(os.path.basename(source_file))        def new_sink_name(source_base_name, timestamp):            return source_base_name + '_%02.3f' % (timestamp) + '.wav'        # reopen source file        s = source(source_file, samplerate, hopsize)        if samplerate == 0: samplerate = s.get_samplerate()        # create first sink at 0        g = sink(new_sink_name(source_base_name, 0.), samplerate)        total_frames = 0        # get next region        next_onset = int(timestamps.pop(0))        while True:            vec, read = s()            remaining = next_onset - total_frames            if remaining <= read:                # write remaining samples from current region                g(vec[0:remaining], remaining)                # close this file                del g                # create a new file for the new region                g = sink(new_sink_name(source_base_name, next_onset / float(samplerate)), samplerate)                # write the remaining samples in the new file                g(vec[remaining:read], read - remaining)                #print "new slice", total_frames_written, "+", remaining, "=", start_of_next_region                if len(timestamps):                    next_onset = int(timestamps.pop(0))                else:                    next_onset = 1e120            else:                g(vec[0:read], read)            total_frames += read            if read < hopsize: break         # print some info        duration = float (total_frames) / float(samplerate)        info = 'created %(nstamps)d slices from %(source_file)s' % locals()        info += ' (total %(duration).2fs at %(samplerate)dHz)\n' % locals()        sys.stderr.write(info)