Transcription#
MFA can use trained acoustic models (see Training acoustic models), trained language models (see Training language models), and pronunciation dictionaries (see Dictionary generation) in order to generate transcripts for audio files.
- Transcriber
- Helper functions
- Mixins
- TranscriberMixin
TranscriberMixinTranscriberMixin.calc_final_fmllrTranscriberMixin.calc_initial_fmllrTranscriberMixin.carpa_lm_rescoreTranscriberMixin.carpa_lm_rescore_argumentsTranscriberMixin.compute_werTranscriberMixin.decodeTranscriberMixin.decode_argumentsTranscriberMixin.evaluate_transcriptionsTranscriberMixin.final_fmllr_argumentsTranscriberMixin.fmllr_rescoreTranscriberMixin.fmllr_rescore_argumentsTranscriberMixin.initial_fmllr_argumentsTranscriberMixin.lm_rescoreTranscriberMixin.lm_rescore_argumentsTranscriberMixin.lm_rescore_optionsTranscriberMixin.model_directoryTranscriberMixin.model_log_directoryTranscriberMixin.save_transcription_evaluationTranscriberMixin.setup_phone_lmTranscriberMixin.train_phone_lmTranscriberMixin.train_speaker_lm_argumentsTranscriberMixin.train_speaker_lmsTranscriberMixin.transcribe_fmllrTranscriberMixin.transcribe_fmllr_optionsTranscriberMixin.transcribe_utterances
- TranscriberMixin
- Decoding graph
- Speaker-independent transcription
- Speaker-adapted transcription
- Mixins