Speech and audio datasets. Every voice, on the record.
Speech and audio datasets recorded by people who agreed to train AI with their voice, and licensed by the creators who own the music. Scripted, conversational, and studio speech, verified transcripts, and sound events, each file fingerprinted, origin-checked, and listed on a signed receipt.
What are speech and audio datasets?
Speech and audio datasets are collections of recordings paired with whatever a model needs to learn from them: a time-aligned transcript for speech recognition, clean studio audio with matching text for text-to-speech, speaker turns for conversation models, and tags for music, ambience, and sound events for audio-language models. The recordings have to resemble production conditions: accents, ages, cheap microphones, noisy rooms, and people talking over each other.
They also have to be yours to use. A voice identifies a person as surely as a face does, and a piece of music belongs to whoever wrote and performed it. Scraped audio gives you neither the consent nor the licence, and no answer when a regulator or a speaker asks where a recording came from.
eeko's data practice records speech with people who signed up to do exactly that, through our paid AI-training programs and the voice professionals in the eeko expert network, and licenses music and sound from the creators who made it. Consent and licence terms are bound to each file, not to one bulk contract. It is the standard we hold ourselves to when we deploy a voice-driven enterprise AI receptionist for a client.
Speech datasets for AI, six ways.
Each collection runs to a written specification: speech style, prompt set, recording conditions, sample rate, target speaker distribution, and transcript conventions, agreed before the first session.
Consented speech data, file by file.
A voice is personal data in most jurisdictions and a licensing problem in all of them. We settle both before the microphone goes live.
What consent means on an eeko recording
- Before the session — the speaker reads what will be recorded, what it may be used for, and what they will be paid, and accepts in writing.
- Bound to the file — the consent reference, the licence terms, and an independent timestamp go into each recording's signed provenance record.
- Limited metadata — only the attributes the speaker opted into leave the building. Location is never one of them.
- Visible to you — the terms ship with the delivery, per recording, so counsel can read them rather than take our word.
- Revocable with notice — if a speaker withdraws, we name the exact files by ID and hash, because they are on your receipt.
- Paid at a stated rate — speakers and creators see the rate before they record, and approved work pays automatically.
Transcribed audio datasets without label noise.
Most transcript error is not mishearing. It is five transcribers handling a stutter five ways.
Agreed before the first file, enforced on every file
- Disfluencies — whether "um", restarts, and repetitions are kept verbatim, normalized, or tagged, decided once in the spec.
- Overlaps and turns — how simultaneous speech is segmented and attributed, so conversation models learn real turn-taking.
- Non-speech events — laughter, coughs, music beds, and door slams tagged from a fixed vocabulary.
- Timestamps — precision and alignment level, from utterance boundaries to word-level forced alignment.
- Numbers, names, and code-switching — spelled-out versus numeral forms, proper-noun casing, and language tags within an utterance.
- Review share — the fraction of files that get a full second listen, with disagreement rates reported to you each batch.
Linguists and phoneticians from the eeko linguistics pool write the conventions for new languages and adjudicate the hard cases.
Real voices, provably.
A speech set is only as honest as its worst file. Every recording is checked for origin and duplication before acceptance.
Audio training data by industry.
From a speaker distribution to a sealed delivery.
Fixed scope, fixed price per recorded hour or per item, set after the pilot batch. A real person replies inside one business day.
Speech and audio dataset questions.
What is a speech and audio dataset for AI training?
A speech and audio dataset is a collection of recordings paired with the information a model needs to learn from them: transcripts with timestamps for speech recognition, clean studio audio with text for text-to-speech, speaker turns for conversation models, and tags for music, ambience, and sound events. A usable one also carries a licence and a consent record for every file, because a voice identifies a person and a song belongs to someone.
How much does speech data cost per hour?
Pricing is per recorded hour or per item, quoted once scoping is done, and depends on the language and how easy its speakers are to reach, scripted versus conversational speech, recording conditions, transcription depth, review share, studio rates for professional voice talent, and exclusivity. Exclusive TTS studio voices sit at the top of the range; read prompts in a common language at the bottom. A pilot batch sets the production price.
Is it legal to train AI on recorded voices?
It is when the speaker agreed to that use, which is the basis of this service. Every speaker and voice professional in our network accepts AI-training use and the licence terms before a session, and that agreement is bound to each file they produce. Metadata is limited to what they chose to share. A recording with no consent on file is never offered. The terms travel with the delivery, so counsel can read them per recording.
Which languages and accents can you record?
Coverage follows who is in the eeko speaker network for a given language, and it grows through commissioned collection when a target is missing. The specification sets distributions for languages, dialects, age bands, and recording conditions, and we report actual coverage against them while production runs. For less widely spoken languages we confirm speaker availability before quoting rather than promising a distribution we cannot fill.
What format are speech datasets delivered in?
Audio ships lossless at the sample rate and bit depth your specification names. Transcripts, alignments, speaker turns, and metadata ship in JSON Lines, CSV, or Parquet; bigger sets go out as WebDataset shards, described by Croissant metadata. Timestamp precision, disfluency handling, and non-speech tags all follow the scoping conventions, so your pipeline does not meet a surprise in the first shard.
How do you keep synthetic voices out of a real-speech dataset?
Three ways. Each file's origin is recorded at intake as human-made, AI-assisted, or AI-generated, and its metadata is read for generator signatures and C2PA records. Commissioned recordings happen in sessions tied to a verified speaker. And an acoustic fingerprint is compared against everything already registered, which also catches a clip re-encoded at another bitrate. If your spec excludes synthetic or processed audio, those files are held back.
Explore related data.
Tell us what your model needs to hear.
Languages, conditions, hours, and the job the model has to do. A speech data lead replies inside one business day with a feasibility read and a pilot plan. No deck. A ranked list of what to record first.
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Markets served.
As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets: