Audio
Multilingual Podcast Audio Dataset - 57K Hours, 12 Languages | Audio Data
Advertised by providerLicensing rights not independently verifiedPrice on request
Overview
Multilingual Podcast Audio Dataset - 57K Hours, 12 Languages | Audio Data is an audio dataset. The provider states a volume of 57,000 hours. Typical applications include speech recognition, speaker recognition, fine-tuning & instruction data and 2 more. The listing mentions transcription, timestamps, speaker labels, polygons / segmentation and 1 more. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Stated volume of 57k hours.
- Listing mentions transcription, timestamps, speaker labels, polygons / segmentation, human review.
This dataset includes a large-scale collection of podcast audio data across multiple languages, domains, and speaker demographics. The dataset is designed to support AI/ML use cases such as automatic speech recognition (ASR), speaker diarization, natural language processing (NLP), and large language model (LLM) training. It consists of high-quality audio recordings along with aligned transcripts, speaker segmentation, and metadata. The content spans a wide range of topics including technology, healthcare, business, education, entertainment, and more, ensuring diversity in vocabulary, accents, and speaking styles. Key features: Thousands of hours of podcast audio Multilingual and multi-accent coverage Human-verified transcripts (optional) Speaker diarization and timestamps Real-world conversational data Noise-controlled and raw audio variants The dataset is suitable for training, fine-tuning, and benchmarking AI models across speech and language tasks. Customization options such as domain filtering, language selection, and annotation enrichment are available upon request.
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Price on request