def _adjust_boundaries(self, boundary_indices, text_file, real_wave_mfcc, sync_root, force_aba_auto=False, leaf_level=False): """ Adjust boundaries as requested by the user. Return the computed time map, that is, a list of pairs ``[start_time, end_time]``, of length equal to number of fragments + 2, where the two extra elements are for the HEAD (first) and TAIL (last). """ # boundary_indices contains the boundary indices in the all_mfcc of real_wave_mfcc # starting with the (head-1st fragment) and ending with (-1th fragment-tail) aba_parameters = self.task.configuration.aba_parameters() if force_aba_auto: self.log(u"Forced running algorithm: 'auto'") aba_parameters["algorithm"] = (AdjustBoundaryAlgorithm.AUTO, []) # note that the other aba settings (nonspeech and nozero) # remain as specified by the user self.log([u"ABA parameters: %s", aba_parameters]) aba = AdjustBoundaryAlgorithm(rconf=self.rconf, logger=self.logger) aba.adjust(aba_parameters=aba_parameters, real_wave_mfcc=real_wave_mfcc, boundary_indices=boundary_indices, text_file=text_file, allow_arbitrary_shift=leaf_level) aba.append_fragment_list_to_sync_root(sync_root=sync_root)
def _adjust_boundaries(self, boundary_indices, text_file, real_wave_mfcc, sync_root, force_aba_auto=False, leaf_level=False): """ Adjust boundaries as requested by the user. Return the computed time map, that is, a list of pairs ``[start_time, end_time]``, of length equal to number of fragments + 2, where the two extra elements are for the HEAD (first) and TAIL (last). """ # boundary_indices contains the boundary indices in the all_mfcc of real_wave_mfcc # starting with the (head-1st fragment) and ending with (-1th fragment-tail) aba_parameters = self.task.configuration.aba_parameters() if force_aba_auto: self.log(u"Forced running algorithm: 'auto'") aba_parameters["algorithm"] = (AdjustBoundaryAlgorithm.AUTO, []) # note that the other aba settings (nonspeech and nozero) # remain as specified by the user self.log([u"ABA parameters: %s", aba_parameters]) aba = AdjustBoundaryAlgorithm(rconf=self.rconf, logger=self.logger) aba.adjust( aba_parameters=aba_parameters, real_wave_mfcc=real_wave_mfcc, boundary_indices=boundary_indices, text_file=text_file, allow_arbitrary_shift=leaf_level ) aba.append_fragment_list_to_sync_root(sync_root=sync_root)
def _adjust_boundaries(self, text_map, real_wave_full_mfcc, real_wave_length): """ Adjust the boundaries between consecutive fragments. Return a pair: 1. a success bool flag 2. the computed interval map, that is, a list of triples ``[start_time, end_time, fragment_id]`` """ self._log("Adjusting boundaries") algo = self.task.configuration.adjust_boundary_algorithm value = None if algo is None: self._log("No adjust boundary algorithm specified: returning") return (True, text_map) elif algo == AdjustBoundaryAlgorithm.AUTO: self._log("Requested adjust boundary algorithm AUTO: returning") return (True, text_map) elif algo == AdjustBoundaryAlgorithm.AFTERCURRENT: value = self.task.configuration.adjust_boundary_aftercurrent_value elif algo == AdjustBoundaryAlgorithm.BEFORENEXT: value = self.task.configuration.adjust_boundary_beforenext_value elif algo == AdjustBoundaryAlgorithm.OFFSET: value = self.task.configuration.adjust_boundary_offset_value elif algo == AdjustBoundaryAlgorithm.PERCENT: value = self.task.configuration.adjust_boundary_percent_value elif algo == AdjustBoundaryAlgorithm.RATE: value = self.task.configuration.adjust_boundary_rate_value elif algo == AdjustBoundaryAlgorithm.RATEAGGRESSIVE: value = self.task.configuration.adjust_boundary_rate_value self._log(["Requested algo %s and value %s", algo, value]) try: self._log("Running VAD...") vad = VAD(logger=self.logger) vad.wave_mfcc = real_wave_full_mfcc vad.wave_len = real_wave_length vad.compute_vad() self._log("Running VAD... done") except Exception as e: self._log("Adjusting boundaries: failed") self._log(["Message: %s", str(e)]) return (False, None) self._log("Creating AdjustBoundaryAlgorithm object") adjust_boundary = AdjustBoundaryAlgorithm(algorithm=algo, text_map=text_map, speech=vad.speech, nonspeech=vad.nonspeech, value=value, logger=self.logger) self._log("Adjusting boundaries...") adjusted_map = adjust_boundary.adjust() self._log("Adjusting boundaries... done") self._log("Adjusting boundaries: succeeded") return (True, adjusted_map)
def run_aba(self, algorithm, value, expected): aba = AdjustBoundaryAlgorithm( algorithm=algorithm, text_map=self.TEXT_MAP, speech=self.SPEECH, nonspeech=self.NONSPEECH, value=value ) adjusted_map = aba.adjust() self.assertEqual(self.maps_are_equal(adjusted_map, self.TEXT_MAP), expected)
def _adjust_boundaries( self, text_map, real_wave_full_mfcc, real_wave_length ): """ Adjust the boundaries between consecutive fragments. Return a pair: 1. a success bool flag 2. the computed interval map, that is, a list of triples ``[start_time, end_time, fragment_id]`` """ self._log("Adjusting boundaries") algo = self.task.configuration.adjust_boundary_algorithm value = None if algo is None: self._log("No adjust boundary algorithm specified: returning") return (True, text_map) elif algo == AdjustBoundaryAlgorithm.AUTO: self._log("Requested adjust boundary algorithm AUTO: returning") return (True, text_map) elif algo == AdjustBoundaryAlgorithm.AFTERCURRENT: value = self.task.configuration.adjust_boundary_aftercurrent_value elif algo == AdjustBoundaryAlgorithm.BEFORENEXT: value = self.task.configuration.adjust_boundary_beforenext_value elif algo == AdjustBoundaryAlgorithm.OFFSET: value = self.task.configuration.adjust_boundary_offset_value elif algo == AdjustBoundaryAlgorithm.PERCENT: value = self.task.configuration.adjust_boundary_percent_value elif algo == AdjustBoundaryAlgorithm.RATE: value = self.task.configuration.adjust_boundary_rate_value elif algo == AdjustBoundaryAlgorithm.RATEAGGRESSIVE: value = self.task.configuration.adjust_boundary_rate_value self._log(["Requested algo %s and value %s", algo, value]) try: self._log("Running VAD...") vad = VAD(logger=self.logger) vad.wave_mfcc = real_wave_full_mfcc vad.wave_len = real_wave_length vad.compute_vad() self._log("Running VAD... done") except Exception as e: self._log("Adjusting boundaries: failed") self._log(["Message: %s", str(e)]) return (False, None) self._log("Creating AdjustBoundaryAlgorithm object") adjust_boundary = AdjustBoundaryAlgorithm( algorithm=algo, text_map=text_map, speech=vad.speech, nonspeech=vad.nonspeech, value=value, logger=self.logger ) self._log("Adjusting boundaries...") adjusted_map = adjust_boundary.adjust() self._log("Adjusting boundaries... done") self._log("Adjusting boundaries: succeeded") return (True, adjusted_map)