Emotion-embedding cosine similarity (EMO-SIM) fails to track emotion under speaker or wording changes and misaligns with human perception, so it is unreliable for evaluating expressive speech generation.
Assessing the impact of anisotropy in neural representations of speech: A case study on keyword spotting
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The False Resonance: A Critical Examination of Emotion Embedding Similarity for Speech Generation Evaluation
Emotion-embedding cosine similarity (EMO-SIM) fails to track emotion under speaker or wording changes and misaligns with human perception, so it is unreliable for evaluating expressive speech generation.