The World's Most Comprehensive Speech Dataset Library for AI
- 50k+ hours of ready-to-license off-the-shelf speech & audio datasets
- 150+ languages and dialects — scripted, spontaneous, conversational, IVR
- Covers ASR, TTS, voice assistants, call center, automotive & healthcare AI
- Ethically sourced with informed consent — GDPR compliant, secure delivery
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The Speech Data Infrastructure Powering Voice AI
From Fortune 500 tech companies to the fastest-growing voice AI startups — Shaip delivers the speech datasets that make models listen, understand, and speak naturally.
One Platform for Every Speech Dataset Your AI Needs
Ready-to-license off-the-shelf catalog, expert human annotation, global contributor networks across 150+ languages, and built-in compliance — delivering production-ready speech datasets in weeks, not months.
50K+ Hours Ready to License Today
Browse and instantly license pre-built speech datasets across all major audio types — scripted, spontaneous, IVR, call center, conversational, wake word, and TTS.
Global Collection in 150+ Languages
30k+ trained contributors across 6 continents. We collect, transcribe, and deliver speech data in any language or dialect — including low-resource languages most vendors can't cover.
Expert Audio Annotation & Transcription
Native-speaker annotators and linguistic experts — not general crowdworkers — ensure transcription accuracy, speaker diarization, timestamp alignment, and acoustic labeling.
Consent-Verified, GDPR-Compliant Data
Every recording is collected with explicit informed consent. Full licensing documentation, data use agreements, and GDPR compliance included from day one.
Speech & Audio Dataset Types for Every AI Use Case
Browse off-the-shelf datasets ready for immediate licensing — or commission a custom dataset built to your model’s exact language, domain, and annotation requirements.
Conversational Speech Datasets
Spontaneous, multi-turn dialog between two or more speakers — covering diverse topics, accents, and natural speech patterns essential for conversational AI.
Call Center Audio Datasets
Real agent-customer telephone conversations across industries — insurance, banking, healthcare, retail — transcribed and labeled for intent, sentiment, and speaker role.
Voice Assistant & Wake Word Datasets
Short-form command utterances, wake word activations, and voice query data — collected across diverse environments, devices, distances, and acoustic conditions.
Automotive Voice Interface Data
In-car speech recordings covering navigation commands, media control, calls, and cabin conversations — captured in real vehicle acoustic environments with road noise.
Healthcare Speech Datasets
Physician dictation, patient-clinician conversations, and clinical transcriptions — HIPAA-compliant and annotated with medical terminology for clinical ASR systems.
Multilingual & Low-Resource Speech Data
Speech datasets in 150+ languages including low-resource languages often unavailable elsewhere — essential for building globally inclusive voice AI products.
Text-to-Speech (TTS) Datasets
Studio-quality and natural-sounding TTS training data — scripted recordings from diverse speaker profiles with prosody, intonation, and phoneme-level labeling.
Emotion & Sentiment Datasets
Audio annotated with emotional states — happy, frustrated, neutral, angry — across demographics and languages. Critical for building empathetic voice AI and call routing systems.
Scripted Speech Datasets
Phonetically balanced scripted recordings for core acoustic modeling — covering numbers, commands, proper nouns, domain-specific vocabulary, and edge cases.
Don't Just License Data — Build What Your Model Needs
Shaip operates at both ends of the speech data pipeline: collecting raw audio at scale from global contributors, and transforming it into richly labeled, model-ready datasets through expert linguistic annotation. One partner. Zero handoffs.
Speech Data Collection
Custom audio capture from 30,000+ trained contributors across 100+ countries — any language, any environment, any device.
Monologue — Scripted & Spontaneous
Single-speaker recordings from scripted prompts or free-form speech. Ideal for wake word, command recognition, and phonetically balanced ASR corpus building.
Conversational & Dialogue Speech
Multi-speaker, multi-turn conversations in both controlled and natural settings — capturing realistic speech patterns, interruptions, and turn-taking behavior essential for conversational AI.
IVR & Telephony Audio
Telephone-quality speech in G.711/G.726 codecs — covering IVR interactions, agent-customer calls, and automated system responses across industries and languages.
Multilingual & Low-Resource Collection
Demographically balanced audio collection in rare, regional, and low-resource languages — ensuring gender, age, dialect, and accent diversity that open datasets can't provide.
Audio Annotation & Labeling
Expert linguistic annotators transform raw audio into richly labeled, model-ready datasets — far beyond basic transcription.
Audio Transcription
Standard, verbatim, and multilingual transcription with speaker identifiers, timestamps, and non-lexical event tagging — delivered with multi-stage native-speaker QA for maximum accuracy.
Speech Labeling & Classification
Ontological identification and tagging of sounds — separating, classifying, and labeling audio segments so models can distinguish speech, music, background noise, and silence with precision.
Natural Language Utterance (NLU)
Granular semantic annotation — capturing intent, entity, context, stress, dialect, and sentiment at the utterance level. Essential for training voice assistants and conversational AI systems.
Multi-Label & Speaker Diarization
Assigns multiple overlapping labels to audio segments — handling code-switching, simultaneous speakers, emotional tone, and acoustic events that single-label approaches miss entirely.
Voice AI Use Cases Powered by Shaip Speech Data
Shaip datasets are battle-tested across every major voice AI application — from enterprise call centers to consumer smart devices and clinical transcription systems.
Automatic Speech Recognition (ASR)
Train and fine-tune ASR engines for real-world accuracy across accents, noise conditions, and domain-specific vocabulary — not just clean-room benchmarks.
WER ReductionConversational AI & Chatbots
Build conversational agents that understand real human speech — turn-taking, interruptions, filler words, and multi-intent utterances that scripted data never captures.
NLU TrainingCall Center Automation & Analytics
Power call center AI with agent-customer audio annotated for intent, sentiment, resolution outcomes, and compliance keywords — across multiple languages and industries.
Contact Center AIAutomotive Voice Assistants
Train in-car voice interfaces that work in noisy vehicle environments — handling navigation, media, phone, and climate commands in 40+ languages for global markets.
ADAS / IVIClinical Transcription & Healthcare AI
Enable AI-powered documentation with physician dictation datasets covering 31 specialties, 257K+ hours — HIPAA-compliant and ready for clinical NLP pipelines.
Clinical ASRSmart Devices & IoT Voice Interfaces
Train far-field speech recognition for smart speakers, wearables, and IoT devices — with real-world background noise, reverberation, and multi-speaker scenarios.
Edge AIWhat Makes Shaip the World's Leading Speech Data Partner
Not a dataset marketplace. Not a crowdsourcing platform. Shaip is the only purpose-built speech AI data company with a decade of linguistic and acoustic domain expertise.
10+ Years Building Speech AI Data
Since 2014, Shaip has built speech data pipelines for the world's largest AI companies — Google, Amazon, Microsoft, and hundreds of startups in between.
30K+ Trained Global Contributors
Our contributor network spans 6 continents, delivering demographically balanced audio across age, gender, accent, dialect, and recording environment.
Linguistic Expert Annotation
Native-speaker linguists annotate every dataset — not generalist crowdworkers. Transcription accuracy, prosody labeling, & diarization quality are verified through multi-stage QA.
Catalog + Custom — One Partner
Start with off-the-shelf hours to bootstrap your model. Commission custom collection when you need domain-specific data. One vendor, one contract, one delivery process.
How Shaip Compares to Other Speech Data Providers
| Language Dataset | Sample Rate | Dataset Type | Total Audio Hours |
|---|---|---|---|
| African American Vernacular | 8 kHz / 16 kHz | Call-center / Podcast | 365 |
| Afrikaans | 8 kHz / 16 kHz | General Conversation / Podcast | 1,026 |
| Arabic | 8 kHz / 48 kHz | General Conversation / Scripted Monologue | 2,239 |
| Assamese | Call-Center / General Conversation / Podcast | 200 | |
| Bengali | Call-Center / General Conversation / Podcast | 200 | |
| Boston English | 8 kHz / 16 kHz | Call-Center / General Conversation / Podcast | 302 |
| Canadian French | 48 kHz | Scripted Monologue | 1,222 |
| Chinese | 8 kHz / 16 kHz / 48 kHz | Call-Center / Podcast / Scripted Monologue | 4,208 |
| Danish | 8 kHz / 16 kHz / 48 kHz | General Conversation / Podcast / Scripted Monologue | 3,615 |
| English Deep South | 8 kHz / 16 kHz | Call-Center / Podcast / General Conversation | 473 |
| German | 8 kHz | Call-Center / IVR | 264 |
| Gujarati | Call-Center / General Conversation / Podcast | 200 | |
| Hebrew | 8 kHz / 16 kHz | General Conversation / Podcast | 826 |
| Hindi | 16 kHz / 48 kHz | Podcast / Scripted Monologue | 3,126 |
| Hinglish | 8 kHz / 16 kHz | Call-center / Podcast | 424 |
| Hispanic English | 8 kHz / 16 kHz | Call-center / Podcast | 367 |
| Indonesian | 8 kHz / 16 kHz | General Conversation / Podcast | 1,139 |
| Japanese | 48 kHz | Scripted Monologue | 2,335 |
| Kannada | Call-Center / General Conversation / Podcast | 200 | |
| Korean | 8 kHz / 16 kHz / 48 kHz | Call-center / Podcast / Scripted Monologue | 2,266 |
| Malay | 8 kHz / 16 kHz | General Conversation / Podcast | 610 |
| Malayalam | Call-Center / General Conversation / Podcast | 200 | |
| Marathi | Call-Center / General Conversation / Podcast | 200 | |
| Spanish (Mexico) | 48 kHz | Scripted Monologue | 1,492 |
| Dutch | 48 kHz | Scripted Monologue | 1,205 |
| New York English | 8 kHz / 16 kHz | Call-Center / Podcast / General Conversation | 350 |
| New Zealand English | 8 kHz / 16 kHz | General Conversation / Podcast | 548 |
| Oriya | Call-Center / General Conversation / Podcast | 200 | |
| Polish | 16 kHz / 48 kHz | Podcast / Scripted Monologue | 1,751 |
| Punjabi | Call-Center / General Conversation / Podcast | 200 | |
| Russian | 48 kHz | Scripted Monologue | 2,398 |
| Scottish (English Accent) | 8 kHz | General Conversation | 292 |
| Singapore English | 8 kHz / 16 kHz | Call-center / Podcast | 465 |
| South African English | 8 kHz / 16 kHz | Call-center / Podcast | 512 |
| Swahili | 8 kHz / 16 kHz | Call-center / Podcast | 495 |
| Swedish | 8 kHz / 16 kHz | Call-center / Podcast | 528 |
| Tamil | Call-Center / General Conversation / Podcast | 200 | |
| Telugu | 8 kHz / 16 kHz | Call-Center / General Conversation / Podcast | 1,201 |
| Thai | 8 kHz / 16 kHz | General Conversation / Podcast | 356 |
| Turkish Turkey | 48 kHz | Scripted Monologue | 2,027 |
| Vietnamese | 8 kHz / 16 kHz | General Conversation / Podcast | 552 |
| Welsh (English Accent) | 8 kHz | General Conversation | 278 |
What Voice AI Teams Say About Shaip
After evaluating many vendors, the client chose Shaip because of their expertise in conversational AI projects. We were impressed with Shaip's project execution competence — their expertise to source, transcribe, and deliver the required utterances from expert linguists in 13 languages within stringent timelines and with the required quality.
We are in awe of Shaip's expertise in the conversational AI realm. The task of handling 8,000 hours of audio data along with 800 hours of transcription across 80 diverse districts was monumental, to say the least. It was Shaip's deep comprehension of the intricate details and nuances of this domain that made the successful execution of such a challenging project possible.
Partnering with Shaip for our call center data project has been a pivotal moment in advancing our AI solutions. Their team expertly collected and annotated 250 hours of audio data across four key English dialects — US, UK, Australian, and Indian — ensuring the highest quality and precision. The attention to linguistic nuances across these regions significantly improved the accuracy of our speech recognition models.
Audio utterances collected, transcribed & annotated in 13 global languages — Danish, Korean, Arabic, Dutch, Mandarin, French Canadian, Spanish, Turkish, Hindi, Polish, Russian, and more
Spontaneous speech audio collected across 80 districts in India — with 800 hours transcribed across multiple Indian languages and dialects for multilingual ASR model training
Call center audio collected & annotated across 4 English dialects with emotion labels (Happy, Neutral, Angry) and sentiment tags (Dissatisfied to Satisfied) for real-time call center AI
Conversation to Production Dataset — 4 Clear Steps
No black-box process. No mystery timelines. A clear, fast path from your speech data requirement to delivery.
Talk to a Speech Data Specialist
Submit the form. A Shaip linguistic and AI data specialist — not a generic SDR — will respond within 1 business day to understand your model's exact needs.
Dataset Scoping & Proposal
We define language, audio type, acoustic environment, annotation schema, speaker demographics, volume, and format — then deliver a detailed proposal with timeline and cost.
Pilot Batch & Quality Validation
A pilot batch lets your team validate transcription quality, schema fit, and speaker diversity before full-scale production. Changes made before scale — not after.
Production Delivery & Scale
Full dataset delivered securely in JSON, CSV, or your preferred ML format with full metadata and licensing documentation. Dedicated CSM for ongoing dataset needs.
Your Voice AI Model Is Only as Good as the Speech Data Behind It
Don’t let data quality limit your model’s potential. Talk to a Shaip speech data specialist today and get a clear path to the annotated, diverse, compliant speech datasets your AI needs.