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Audio datasets for AI training, evaluation and scale

Explore speech, voice and music datasets with the licensing, structure and quality signals your team needs to evaluate fit quickly.

Browse audio datasetsSpeak with an audio data expert

2M+

Hours of audio

500+

Languages and locales

175+

Domains
GDPR
GDPRCompliant
Certification
CertificationISO 27001, ISO 27701

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Data Collection

Sourcing

Choose audio datasets from multiple sourcing modes to reduce mismatch between training data and your AI solutions, from on-device scripted speech to call-center-style dialogue, live podcasts, music tracks and licensed SFX.

  • On-device scripted monologues for consistent, clean ASR and TTS training

  • Spontaneous dialogue/simulated call center audio for conversational AI and telephony-style speech recognition

  • Live, non-simulated podcasts recorded by real podcasters for long-form, real-world speech

  • Licensed music tracks for training music generation and classification models

  • Licensed sound effects for SFX generation and sound classification tasks

What you can build with audio datasets

Automatic Speech Recognition
Automatic Speech Recognition

Automatic Speech Recognition

Speech datasets and conversational datasets for ASR model training, fine-tuning and evaluation.

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Healthcare
Healthcare

Healthcare

Licensed audio datasets for medical speech workflows, domain adaptation and speech-enabled patient or clinician tools.

Automotive
Automotive

Automotive

Voice datasets for embedded interfaces, wake-word systems, command recognition and in-cabin conversational AI.

Automatic Speech Recognition
Automatic Speech Recognition

Automatic Speech Recognition

Speech datasets and conversational datasets for ASR model training, fine-tuning and evaluation.

Healthcare
Healthcare

Healthcare

Licensed audio datasets for medical speech workflows, domain adaptation and speech-enabled patient or clinician tools.

Automotive
Automotive

Automotive

Voice datasets for embedded interfaces, wake-word systems, command recognition and in-cabin conversational AI.

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Audio datasets FAQ

Audio datasets are curated collections of audio files plus metadata and often labels such as transcripts. They are used to train, fine-tune or evaluate AI models for speech, music and sound understanding.

A speech dataset typically targets ASR with transcripts and speech coverage, while a voice dataset is often used for identity-centric tasks like verification and speaker identification. Many audio dataset formats can support both depending on metadata and labels.

Yes. Defined.ai offers licensed datasets for AI training and evaluation, helping teams review usage suitability earlier in the buying process.

Yes. If you are comparing multiple options, Defined.ai can help shortlist datasets based on use case, channel, locale, quality requirements and labeling needs.

Timelines depend on scope, languages, sourcing and annotation requirements, but the team can help define a realistic collection path and shortlist existing options first.

Yes. Scripted speech datasets can support speech synthesis and TTS workflows, including higher-fidelity audio specs on some offerings.

Yes. Podcast datasets support long-form transcription, indexing and conversational modeling, and Defined.ai offers live podcasts with transcription available as a service.

Ready for better audio datasets?

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