Voice & Speech Data

Native-speaker speech training data, ready for your models

End-to-end production — collected, transcribed, aligned, and QA’d for ASR, TTS, and conversational AI. Any language and dialect, including rare ones, with documented consent, commercial rights, and delivery in your schema.

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Real clips from a multi-dialect Arabic emotional-speech set we produced — each labeled by dialect, emotion, speaker gender, and age.

أنا قلتلكم عايز أوضة هادية، بس الدوشة مش مقبولة خالص!
“I told you I wanted a quiet room, but the noise is unbearable!”Angry·Egyptian Arabic (Cairo)·Male·Age 46
0:06
الطبيب طمأنني… التحاليل كلها ممتازة والحمد لله.
“The doctor reassured me… all tests are great.”Happy·Modern Standard Arabic·Female·Age 39
0:04
دورت بكل القسم… وما لقيت شي يناسبني.
“I searched the whole section… nothing fits me.”Sad·Najdi Arabic·Male·Age 39
0:05
بس أبغى أتأكد… هل حدّثتوا بياناتي البنكية؟
“Just want to confirm — did you update my banking details?”Neutral·Hejazi Arabic·Male·Age 39
0:04
الحمد لله… الطريق فاضي النهارده ووصلنا أسرع من اللي توقعت!
“Thank God… the road is clear today and we arrived faster than expected!”Happy·Egyptian Arabic (Cairo)·Male·Age 46
0:05
فقط أريد التأكد… هل يبدأ الإفطار الساعة السابعة؟
“Just want to confirm… breakfast starts at seven?”Neutral·Modern Standard Arabic·Female·Age 39
0:04
موعدي وحدة! ليه مستنّي كل دا الوقت؟
“My appointment was at one — why am I waiting this long?”Angry·Hejazi Arabic·Male·Age 39
0:04
لقيت القميص اللي أبيه… ونص السعر بعد!
“Found the exact shirt I wanted — at half price!”Happy·Najdi Arabic·Male·Age 39
0:05
حاولت التحويل عدة مرات لكنه يرفض، وهذا يقلقني.
“Tried transferring several times; it keeps failing — it worries me.”Sad·Modern Standard Arabic·Female·Age 39
0:04
ممكن تعرفني هنوصّل امتى تقريبًا؟
“Could you just tell me the estimated arrival time?”Neutral·Egyptian Arabic (Cairo)·Male·Age 46
0:03

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Collection types

Speech & voice data collection

We source speakers, record to spec, and deliver structured voice datasets your team can use for TTS, STT/ASR, and conversational AI training.

Scripted monologueOne speaker reads supplied or written scripts — studio or remote.

Spontaneous conversationalStrictly two-speaker natural dialogue, channel-separated (L/R).

TelephonicPhone-channel speech collection.

Emotional speechTargeted emotions (Angry, Happy, Sad, Neutral) with scripts written for natural delivery.

Mobile-app recordingCapture via mobile app and everyday devices.

Voice-cloning datasetsHigh-fidelity studio recordings with full exclusive licensing incl. cloning rights.

Process

How it works

From casting to packaged delivery — speaker sourcing, scripting, recording, annotation, and metadata.

1
Speaker sourcing & recruitment
We source speakers from our existing pool or recruit new participants based on your requirements.
2
Script preparation
We write new scripts or use yours. Scripts can be fully human-written or AI-assisted and reviewed by native speakers.
3
Recording
Speakers record the scripts using our recording platform or another approved recording setup, following the project specifications.
4
Annotation & quality assurance
We perform segmentation, transcription, alignment, labeling, validation, and all required QA checks. Depending on the project, this may include timestamps, speaker labels, emotion labels, intent tags, or other annotations. We verify each batch for audio quality, language accuracy, and metadata consistency before delivery.
5
Metadata & dataset packaging
We prepare the final dataset with audio files, annotations, metadata, documentation, and the required delivery format.

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Benefits

Why companies trust us with speech data

Native speakers, not crowd audio

Every locale is cast and reviewed by people who speak that market language — accent and dialect checked before delivery.

End-to-end — one team owns the dataset

Casting, scripting, recording, transcription, QA, and packaging in one workflow. You don’t stitch vendors together.

Rare languages and dialects on demand

Ready talent where we have it; new speakers sourced when you need a niche locale — for example Icelandic, Kazakh, or Iu Mien.

Licensed for real commercial use

Consent and usage terms documented per talent — including exclusive and voice-cloning rights when your project needs them.

Delivered in your training format

Audio, annotations, and metadata in the structure you specify — WAV/FLAC, JSON/JSONL/TSV, and your field schema.

Case studies

Examples from live client work

Representative speech and voice programs — anonymized, scoped to each client's requirements.

Arabic speech

Multi-dialect Arabic speech corpus

Scripts, native casting per dialect, human-verified transcription to ≤4% WER, dialect accuracy QA, and weekly rolling delivery — including Gulf-Arabic telephonic speech collections.

1,000 haudio delivered

≤4%WER target

10–14 weekstimeline

Voice cloning

Studio voice-cloning dataset, 8 languages

Certified-studio recording at 48 kHz / 24-bit, quality control, metadata, and full exclusive buyout including cloning rights per talent.

8languages

48 kHzrecording quality

4–6 weekstimeline

Conversational

Large-scale conversational dialogue corpus

Channel-separated stereo recording, machine-transcribed tier and human-verified tier to ≤4% WER, word-level alignment — plus Eastern-European ASR telephonic collections on the same delivery model.

2,000 htotal hours

250hours per week

~70team size

Ready to validate a speech-data pilot or production batch?

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What is speech data collection?

Speech data collection is the process of recording, segmenting, and licensing human voice audio for training or evaluating ASR (speech recognition), TTS (text-to-speech), and conversational AI models. Alconost runs the full pipeline — casting native speakers, studio or remote recording, transcription and alignment, metadata, quality control, and commercial licensing — in any language or dialect you need, including rare ones.

Is volume measured in final segments or raw recordings?

Either — we agree on the billing unit during scoping. Speech collection is usually priced per recorded audio hour; clip-based work can be per segment or per task.

Do you support monologue or two-speaker dialogue?

Both. Scripted monologue uses one speaker per track. Conversational programs use two speakers with channel-separated stereo (left and right).

How do you handle speaker limits and diversity?

We set unique-speaker caps, gender and age balance, persistent speaker IDs, and no-reuse rules to match your model requirements.

Can we use milestones or pilot checkpoints?

Yes — they're optional. We can run pilot checkpoints, deliver dialect by dialect, or ship rolling weekly batches — whatever fits your training schedule.

Can you scale the project if requirements change?

Yes. We stay flexible after kickoff — add languages or dialects, raise weekly volume, adjust demographics, or expand annotation depth as your model needs evolve. Large programs can scale to about 250 audio hours per week.

How is data quality ensured?

We agree technical and linguistic quality targets up front, then audit every batch for audio quality, language accuracy, and metadata consistency. Segments that miss the bar are re-recorded or rejected under agreed rules before delivery.

What file formats and metadata do you deliver?

Your choice — segmentation rules, metadata fields, folder structure, and formats (WAV/FLAC, JSON/JSONL/TSV, SRT/VTT). We align to your training pipeline.

What licensing options do you offer?

From standard work-for-hire to full exclusive buyouts with voice-cloning rights. We document talent consent and licensing when your project requires it.

What happens after I submit the form?

A speech-data specialist reviews your brief and replies within one business day. You'll get clarifying questions, a tailored quote, and — when useful — a pilot proposal before full production.