FA-Bench Leaderboard

ASR with timestamps commercial speech APIs

ASR with timestamps, commercial speech APIs
SystemMean F1
Google Chirp 20.436
Amazon Transcribe0.269
AssemblyAI Universal-3.5 Pro0.210
Deepgram Nova-30.197
IBM Watson STT en-US0.157
Speechmatics Enhanced0.143
Azure AI Speech0.138
ElevenLabs Scribe v20.137

Word boundary F1 at 20 ms, averaged over TIMIT and Buckeye, clean and noisy. Higher is better.

Olewave makes FA-Bench and scores every system with the same public code against the same human annotations. Olign, also from Olewave, no longer takes part in the benchmark.

Speech Timestamps Playground

Forced alignment and ASR timestamps

Up to 30 seconds of English speech. No account needed.

We proudly offer

Large-Scale Pre-Labeled Speech Datasets

Human-Sourced,
Label-Validated,
and Scientist-Verified OTS Datasets
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  • Diverse topics in education, finance, legal, entertainment, healthcare, retail, customer service …

  • Validated labels for speaker names & turns, transcripts …

Check samples & price

Production-Grade Voice AI Solutions

Your Custom Voice AI,
On Your Own Servers,
No SaaS Vendor Lock-In.
  • Superior STT/TTS with higher quality & faster inference than open-source or cloud APIs

  • Tailored to your use case, tuned to your domain, languages, and workflows

  • You own the code, with 100% IP rights on all customization

Check demo & book a meeting

Avant-Garde Voice AI Consulting Services

Established in 2015.
Experienced in Assisting Clients,
Located in San Francisco
  • Market & technology evaluation covering the competitive landscape and build-vs-buy

  • Strategic business planning for roadmap, staffing and go-to-market

  • Strict non-disclosure, with an NDA on every engagement

Schedule a free consultation

What our customers say
Startup Founder who builds their own voice LLM

“… We are happy to find you, since you are the only one who can provide large-scale conversational speech data with speaker-turn labels, and they are good.”

Director of Speech at a top-5 NASDAQ company

“… These data are very effective for training generative AI models, and they are not expensive.”

Director of AI Call Center at a Fortune 500 corporation

“… Your data have more accurate transcriptions and sentence-level timestamps than other data providers. And only you can provide large amounts of speech data across different languages and dialects with transcriptions.”