Adapting speech-aware LLMs with speaker cluster identification tags and concatenated multi-speaker data yields superior speaker-attributed ASR performance versus sequential diarization-plus-ASR pipelines.
ESPnet -SPK: full pipeline speaker embedding toolkit with reproducible recipes, self -supervised front-ends, and off -the-shelf models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Speaker Attributed Automatic Speech Recognition Using Speech Aware LLMS
Adapting speech-aware LLMs with speaker cluster identification tags and concatenated multi-speaker data yields superior speaker-attributed ASR performance versus sequential diarization-plus-ASR pipelines.