ACN - Real-Time US English Conversational Audio Feed (1,000 hrs/month, time-based + API delivery, full enrichment stack | WAV, JSON, JSONL)
Overview
ACN - Real-Time US English Conversational Audio Feed (1,000 hrs/month, time-based + API delivery, full enrichment stack | WAV, JSON, JSONL) is an audio dataset. It covers English. Typical applications include speech recognition, LLM pre-training and conversational AI. Relevant sectors: Education and AI & Machine Learning. Pricing is not published and is provided on request.
Primary applications
ACN's Real-Time US English Conversational Audio Feed delivers 1,000 hours of newly produced, rights-cleared US English conversational audio every month via API -- giving AI teams a continuous, structured stream of fresh training data to keep models current, reduce temporal drift, and expand training corpora incrementally without repeated bulk licensing cycles. This product is available as an add-on to an ACN static catalog license. Every asset delivered through the feed carries the full ACN enrichment stack -- the same 8 structured JSON files, isolated speaker stems, vocal and accompaniment separation, and JSONL manifest delivered with the static catalog -- meaning the feed integrates directly into existing ACN-based training pipelines with no additional preprocessing or schema changes required. Why Real-Time Conversational Data Static training corpora capture language as it existed at the time of collection. Conversational English evolves continuously -- new vocabulary, emerging topics, shifting registers, evolving cultural references, and changing speaker demographics all affect how well a model generalizes to real-world use. A continuous monthly feed of freshly produced conversational audio gives training teams a principled mechanism to address temporal drift, expand domain and topic coverage incrementally, and maintain model freshness between major retraining cycles. Feed Specifications Volume: 1,000 hours of new audio produced and delivered per calendar month. Source: AC
Related datasets
More in Speech & Audio →Podcast Audio Data | Egyptian Arabic Multi-Speaker Dialogue Audio Corpus | 10,000+ Hours with Full Transcription | .WAV .JSON
Specifications: ‣ Volume: 100,000+ hours ‣ Format: 8kHz, mono channel (WAV audio + JSON transcript) ‣ Environment: Studio, podcast-quality recording ‣ Recording content:…
- Language
- Arabic
- Volume
- 10k h
- Domain
- Education +1
- Use case
- Speech recognition
More English speech & audio datasets
All 300 English speech & audio datasets →- After School Club Conversation Audio Dataset (United States, English)
- American English Conversational Speech Data by Mobile Phone | 1,136 Hours | Multilingual Language Data
- American English Full-Duplex Multi-Channel Speech Dataset | 600 Hours | Speech Data
- American English Language Datasets | 150+ Years of Research | Dictionary Data | Audio Data | NLP Data | US English Coverage
- American English Speech Synthesis Corpus-Female | 19.46 Hours | Text-to-Speech(TTS) Data
- American English Spontaneous Speech Data | 1,178 Hours | Audio Data
- Arabic-English code-switching audio from language teaching sessions
- Australian English call-center audio, telecom, telephony-recorded