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
TranscriberMixin
TranscriberMixin.calc_final_fmllr
TranscriberMixin.calc_initial_fmllr
TranscriberMixin.carpa_lm_rescore
TranscriberMixin.carpa_lm_rescore_arguments
TranscriberMixin.compute_wer
TranscriberMixin.decode
TranscriberMixin.decode_arguments
TranscriberMixin.evaluate_transcriptions
TranscriberMixin.final_fmllr_arguments
TranscriberMixin.fmllr_rescore
TranscriberMixin.fmllr_rescore_arguments
TranscriberMixin.initial_fmllr_arguments
TranscriberMixin.lm_rescore
TranscriberMixin.lm_rescore_arguments
TranscriberMixin.lm_rescore_options
TranscriberMixin.model_directory
TranscriberMixin.model_log_directory
TranscriberMixin.save_transcription_evaluation
TranscriberMixin.setup_phone_lm
TranscriberMixin.train_phone_lm
TranscriberMixin.train_speaker_lm_arguments
TranscriberMixin.train_speaker_lms
TranscriberMixin.transcribe_fmllr
TranscriberMixin.transcribe_fmllr_options
TranscriberMixin.transcribe_utterances
- TranscriberMixin
- Decoding graph
- Speaker-independent transcription
- Speaker-adapted transcription
- Mixins