Meta FAIR Speech

by Meta AI / FAIR

Meta AI speech research — wav2vec 2.0 + HuBERT + MMS + Seamless origins.

TL;DR

Meta AI speech research — wav2vec 2.0 + HuBERT + MMS + Seamless origins.

Best for self-supervised speech + multilingual ASR + speech translation at frontier scale. Pricing: free.

Category
Open source
License
—
Stars
—
Last push
—
Pricing
free
Platforms
Web, GitHub

What it is

Meta FAIR Speech released wav2vec 2.0, HuBERT, data2vec, XLS-R, MMS (1100+ languages), Seamless, and SeamlessM4T. The industry frontier for open multilingual speech.

Best for: Self-supervised speech + multilingual ASR + speech translation at frontier scale.
Watch out for: MIT (fairseq) · per-model licenses vary (MMS = CC-BY-NC-4.0, Seamless = research) — check release.

Install / use

git clone https://github.com/facebookresearch/fairseq

Features

Speaker diarizationNo
Word-level timestampsNo
Streaming / real-timeNo
Languages supported1100
HIPAA eligibleNo

Meta FAIR Speech vs Whipscribe

FeatureMeta FAIR SpeechWhipscribe
CategoryOpen sourceTranscription APIs
Pricingfreefree beta
Speaker diarizationNoYes
Word timestampsNoYes
StreamingNoNo
Languages110099
PlatformsWeb, GitHubWeb, API, MCP

Alternatives to Meta FAIR Speech

OpenAI Whisper
OpenAI

The reference open-source multilingual ASR model from OpenAI.

OSS · MIT ★ 98.1k
whisper.cpp
Georgi Gerganov

C/C++ port of Whisper — runs on anything, from a Raspberry Pi to Apple Silicon.

OSS · MIT ★ 48.8k
faster-whisper
SYSTRAN

4× faster than reference Whisper using CTranslate2 — production sweet spot.

OSS · MIT ★ 22.3k

Whipscribe is a managed faster-whisper + whisperX service. If you want transcripts without running infrastructure, paste a URL or drop a file in the form below — you'll have a transcript in seconds.