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This introduction to a special session on "Emotion in recognition and synthesis" highlights the need to understand the effects of affective speaker states on voice and speech on a psychophysiological level. It is argued that major advances in speaker verification, speech recognition, and natural-sounding speech synthesis depend on increases in our knowledge of the mechanisms underlying voice and speech production under emotional arousal or other attitudinal states, as well as on a more adequate understanding of listener decoding of affect from vocal quality. A brief review of the current state of the art is provided.
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Stored only when both papers are in the corpus — 89 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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