ACN - Premium Spoken Word Conversational Audio Data (speaker-diarized, fully enriched | WAV, JSON, JSONL)
Overview
ACN - Premium Spoken Word Conversational Audio Data (speaker-diarized, fully enriched | WAV, JSON, JSONL) is an audio dataset. Typical applications include speech recognition, speaker recognition and conversational AI. Relevant sectors: Education and AI & Machine Learning. The listing mentions transcription, timestamps, speaker labels and classification labels. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Listing mentions transcription, timestamps, speaker labels, classification labels.
34.5K hours of OTS owned & operated, rights-cleared conversational audio across hundreds of speakers and multiple US regions. This is not raw audio. Every premium audio asset is delivered as a fully enriched, structured package ready for immediate pipeline ingestion. What's Delivered Per Asset - Audio Files: Mixed-down master (MP3/WAV/FLAC · 44.1kHz–48kHz · 16-bit/24-bit · stereo and mono), vocals.wav (vocal separation stem), accompaniment.wav (accompaniment/background separation), and individual speaker isolation stems (speaker_0.wav, speaker_1.wav... per detected speaker — typically 2–5 per asset). - 8 Structured JSON Enrichment Files: -- manifest.json — asset ID, language ISO, duration, format specs, file sizes, ingest batch ID, provenance checksum -- metadata.json — domain classification, topic tags, content vertical, show/episode metadata, speaker count estimate -- transcription.json — full verbatim transcript with word-level timestamps and confidence scores, speaker diarization labels, disfluencies and fillers retained, cross-talk flagged -- audio-quality.json — SNR estimate (dB), VAD speech ratio, effective bandwidth (Hz), overlap detection ratio, per-asset quality flags -- content-class.json — content type classification: interview, debate, monologue, panel discussion, live commentary, narrative -- sentiment.json — utterance-level sentiment scoring (positive/negative/neutral) across the full asset -- topic.json — topic classification, keyword extraction with mention c
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More in Speech & Audio →10,000+ Hours English Conversational Audio | Multi-Speaker, Diarized Transcripts | Speech Recognition & AI Training | WAV + JSON
Specifications: • Language: Mandarin Chinese, English, Portuguese, Spanish, and more • Volume: 100,000+ hours • Format: 8kHz, mono channel (WAV audio + JSON transcript)…
- Language
- English
- Volume
- 10k h
- Domain
- Education +1
- Use case
- Speech recognition
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All 1,727 speech & audio datasets →- ACN - Real-Time US English Conversational Audio Feed (1,000 hrs/month, time-based + API delivery, full enrichment stack | WAV, JSON, JSONL)
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