eGeMAPS
PulseAugur coverage of eGeMAPS — every cluster mentioning eGeMAPS across labs, papers, and developer communities, ranked by signal.
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Wav2Vec 2.0 model interpretability for pathological speech assessment studied
Researchers have investigated the interpretability of a Wav2Vec 2.0 model used for assessing pathological speech in oral and oropharyngeal cancer patients. Using canonical correlation analysis, they measured the correla…
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Research paper decodes bioacoustic embeddings, revealing feature encoding patterns
A new research paper explores the features encoded within bioacoustic embeddings, which are commonly used in bioacoustics research. The study reveals that no single model captures the full range of acoustic features, wi…
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Audio language models improve speech emotion recognition with acoustic cues
Researchers have developed a method to improve speech emotion recognition in audio language models by incorporating explicit acoustic cues. By deriving six interpretable acoustic concept tokens from paralinguistic featu…