Speaker-adaptive speech recognition using speaker diarization for improved transcription of large spoken archives
We propose a two-pass speaker-adaptive scheme operating at a low real-time factor. The scheme is based on integration of speaker diarization and adaptation methods. The transcripts from the first pass serve for adaptation as well as for diarization. The first pass is carried out using the lexicon with limited number of items. The adaptation approach is developed using recordings of various types of programs.
speaker diarization large spoken archives speaker adaptive automatic speech recognition speaker adaptation automatic transcription