ALLIES: A Speech Corpus for Segmentation, Speaker Diarization, Speech Recognition and Speaker Change Detection (2024.lrec-main)
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| Challenge: | a meta corpus of audio files is used to gather, annotate and transcribe speech . a large number of speech databases are needed to perform multi-speaker tasks such as speaker diarization and speaker change detection. |
| Approach: | They propose to use human feedback to homogenize and correct speaker labels among the audio files by integrating human feedback within a speaker verification system. |
| Outcome: | The proposed protocol evaluates speech segmentation, speaker diarization, speech transcription and speaker change detection using human feedback. |
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