Speaker diarization timeline showing who spoke when on multi-speaker audio
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Audio & Speech Processing

Phonetics, diarization, and acoustic or scene-level labels.

IPA-friendly transcripts, diarization with overlaps, and acoustic/event labels—with QA to your spec.

Capabilities

Each capability pairs illustrative imagery with how we deliver it at production quality.

IPA-style phonetic transcription aligned with speech waveforms for dialect and accent modeling

Phonetic Transcription

IPA-style phones, stress, and dialect detail—not just words. Waveform-aligned (incl. multi-channel) for TTS, linguistics, and accent-robust ASR.

Speaker diarization timeline with who-spoke-when labels and overlap segments on multi-speaker audio

Speaker Diarization

Who spoke when—with overlaps and tight boundaries. Stable IDs across long calls and meetings; mono or multi-mic; millisecond-level segments for clean transcripts.

Labeled acoustic events, emotions, background noise, and scene classes for audio ML datasets

Audio Classification

Events, emotion, noise, and scene labels beyond speech. Discrete cues (alarms, glass break, …), stress/tone tags, ambient profiles for denoise, and clip-level context for security and automotive.

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