most citedTranscription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition

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cs.SD2024

Investigating Confidence Estimation Measures for Speaker Diarization

Anurag Chowdhury, Abhinav Misra, Mark C. Fuhs +1

Speaker diarization systems segment a conversation recording based on the speakers' identity. Such systems can misclassify the speaker of a portion of audio due to a variety of fac…

cs.SD2024★ 1 cited

Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition

William Ravenscroft, George Close, Stefan Goetze +4

One solution to automatic speech recognition (ASR) of overlapping speakers is to separate speech and then perform ASR on the separated signals. Commonly, the separator produces art…