Buckeye
PulseAugur coverage of Buckeye — every cluster mentioning Buckeye across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New forced alignment method boosts accuracy for noisy spontaneous speech
Researchers have developed a new method for forced alignment of spontaneous speech that significantly improves accuracy in noisy conditions. By incorporating explicit units for fillers and non-lexical vocal events, and …
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New gradient-based method aligns speech-to-text across all ASR models
Researchers have developed a novel gradient-based method for aligning speech-to-text, applicable to any differentiable automatic speech recognition (ASR) model. This technique derives word timings from the gradient of t…
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New method improves multilingual word-level speech alignment
Researchers have developed a novel method for multilingual word-level forced alignment, integrating representations from the Massively Multilingual Speech (MMS) model and a self-supervised phoneme boundary detector. Thi…