From: Maxime LE COZ Date: Mon, 17 Jun 2013 14:14:50 +0000 (+0200) Subject: Remove temp file X-Git-Tag: 0.5.0~31^2~2 X-Git-Url: https://git.parisson.com/?a=commitdiff_plain;h=e3a6aa6889148cc4c3f75237f6041997f0d0d6b6;p=timeside.git Remove temp file --- diff --git a/timeside/analyzer/irit_speech.py~ b/timeside/analyzer/irit_speech.py~ deleted file mode 100644 index 8f0edc4..0000000 --- a/timeside/analyzer/irit_speech.py~ +++ /dev/null @@ -1,83 +0,0 @@ -# -*- coding: utf-8 -*- -# -# Copyright (c) 2013 Maxime Le Coz - -# This file is part of TimeSide. - -# TimeSide is free software: you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation, either version 2 of the License, or -# (at your option) any later version. - -# TimeSide is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. - -# You should have received a copy of the GNU General Public License -# along with TimeSide. If not, see . - -# Author: Maxime Le Coz - -from timeside.core import Processor, implements, interfacedoc, FixedSizeInputAdapter -from timeside.analyzer.core import * -from timeside.api import IValueAnalyzer - -class IRITSpeech(Processor): - implements(IValueAnalyzer) - - @interfacedoc - def setup(self, channels=None, samplerate=None, blocksize=None, totalframes=None): - super(AubioPitch, self).setup(channels, samplerate, blocksize, totalframes) - self.win_s = 2048 - self.hop_s = self.win_s / 2 - self.p = pitch("default", self.win_s, self.hop_s, samplerate) - self.p.set_unit("freq") - self.block_read = 0 - self.pitches = [] - - @staticmethod - @interfacedoc - def id(): - return "aubio_pitch_analyzer" - - @staticmethod - @interfacedoc - def name(): - return "f0 (aubio)" - - @staticmethod - @interfacedoc - def unit(): - return "" - - def __str__(self): - return "pitch values" - - def process(self, frames, eod=False): - for samples in downsample_blocking(frames, self.hop_s): - #time = self.block_read * self.hop_s * 1. / self.samplerate() - self.pitches += [self.p(samples)[0]] - self.block_read += 1 - return frames, eod - - def results(self): - - #container = AnalyzerResultContainer() - - self.pitches = numpy.array(self.pitches) - - pitch = AnalyzerResult(id = "aubio_pitch", name = "f0 (aubio)", unit = "Hz") - pitch.value = self.pitches - #container.add_result(pitch) - - pitch_mean = AnalyzerResult(id = "aubio_pitch_mean", name = "f0 mean (aubio)", unit = "Hz") - pitch_mean.value = numpy.mean(self.pitches) - #container.add_result(pitch_mean) - - pitch_median = AnalyzerResult(id = "aubio_pitch_median", name = "f0 median (aubio)", unit = "Hz") - pitch_median.value = numpy.median(self.pitches) - #container.add_result(pitch_median) - - #return container - return AnalyzerResultContainer([pitch, pitch_mean, pitch_median]) diff --git a/timeside/analyzer/irit_speech_4hz.pyc b/timeside/analyzer/irit_speech_4hz.pyc deleted file mode 100644 index eed34b4..0000000 Binary files a/timeside/analyzer/irit_speech_4hz.pyc and /dev/null differ diff --git a/timeside/analyzer/irit_speech_entropy.pyc b/timeside/analyzer/irit_speech_entropy.pyc deleted file mode 100644 index 387de1a..0000000 Binary files a/timeside/analyzer/irit_speech_entropy.pyc and /dev/null differ diff --git a/timeside/analyzer/irit_speech_entropy.py~ b/timeside/analyzer/irit_speech_entropy.py~ deleted file mode 100644 index a37fadf..0000000 --- a/timeside/analyzer/irit_speech_entropy.py~ +++ /dev/null @@ -1,88 +0,0 @@ -# -*- coding: utf-8 -*- -# -# Copyright (c) 2013 Maxime Le Coz - -# This file is part of TimeSide. - -# TimeSide is free software: you can redistribute it and/or modify -# it under the terms of the GNU General Public License as published by -# the Free Software Foundation, either version 2 of the License, or -# (at your option) any later version. - -# TimeSide is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. - -# You should have received a copy of the GNU General Public License -# along with TimeSide. If not, see . - -# Author: Maxime Le Coz - -from timeside.core import Processor, implements, interfacedoc, FixedSizeInputAdapter -from timeside.analyzer.core import * -from timeside.api import IValueAnalyzer -from numpy import histogram,log,sqrt,min,max,sum,exp,array,zeros,var -from scipy.ndimage.morphology import binary_opening -from matplotlib import pylab - -class IRITSpeechEntropy(Processor): - implements(IValueAnalyzer) - - @interfacedoc - def setup(self, channels=None, samplerate=None, blocksize=None, totalframes=None): - super(IRITSpeechEntropy, self).setup(channels, samplerate, blocksize, totalframes) - self.entropyValue = [] - self.threshold = 0.4 - self.smoothLen = 5 - self.w_hop = 1024 - self.modulLen = 1 - @staticmethod - @interfacedoc - def id(): - return "irit_speech_entropy" - - @staticmethod - @interfacedoc - def name(): - return "Speech entropy (IRIT)" - - @staticmethod - @interfacedoc - def unit(): - return "" - - def __str__(self): - return "Speech confidences indexes" - - def process(self, frames, eod=False): - - for samples in downsample_blocking(frames, self.w_hop): - self.entropyValue.append(entropy(samples)) - return frames, eod - - def results(self): - - entropyValue = numpy.array(self.entropyValue) - w = self.modulLen*self.samplerate()/self.w_hop - modulentropy = computeModulation(entr,w,withLog=False) - confEntropy= array(modulentropy-self.threshold)/self.threshold - confEntropy[confEntropy>1] = 1 - - conf = AnalyzerResult(id = "irit_entropy_confidence", name = "entropy (IRIT)", unit = "?") - conf.value = confEntropy - - binaryEntropy = modulentropy > self.threshold - binaryEntropy = binary_opening(binaryEntropy,[1]*(self.smoothLen*2)) - - convert = {False:'NonSpeech',True:'Speech'} - segList = segmentFromValues(binaryEntropy) - segmentsEntropy =[] - for s in segList : - segmentsEntropy.append((s[0]*self.w_hop/float(self.samplerate()),s[1]*self.w_hop/float(self.samplerate()),convert[s[2]])) - - segs = AnalyzerResult(id = "irit_entropy_segments", name = "seg entropy (IRIT)", unit = "s") - segs.value = segmentsEntropy - - - return AnalyzerResultContainer([conf, segs])