audio-understanding · active

Understanding speech and audio

Hearing what is said and how it is said — tone, emotion, speaker identity, and events in a soundscape.

Tags: knowledge, reasoning

Covers audio and speech-language models: transcription fidelity, but more interestingly the paralinguistic layer that text transcripts discard — prosody, emotion, sarcasm, speaker turns, overlapping speech, and non-speech events. Also whether a model reasons over time in audio, since a sound's meaning often depends on what preceded it.

What counts as this capability

Scope boundary used when deciding whether a paper is really about this capability, rather than merely mentioning it.

In scope when the paper studies what a model does with audio input: speech understanding, paralinguistic inference (how something was said), audio event recognition, or reasoning over an audio timeline. NOT in scope: text- to-speech and voice synthesis, which are generation rather than understanding; and ASR word-error-rate work that treats audio purely as a transcription pipeline without any understanding claim.

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Capabilities are a way of carving up the subject, and carvings are arguable. Say so if this one is wrong — especially a proposed one, which a pipeline added because several papers used the same framing, not because anyone decided it was right.