AI & ML interests
Hebrew, LLM, speech recognition
Recent Activity
ivrit.ai β open Hebrew speech & language AI
ivrit.ai is a non-profit building open, permissively licensed Hebrew (and Yiddish) datasets and models. Models: apache-2.0. Datasets: the ivrit.ai License (v2) β which allows broad research and commercial use.
π Start here β which model should I use?
| I want to⦠| Use | Runtime |
|---|---|---|
| Transcribe Hebrew fast on GPU/CPU | whisper-large-v3-turbo-ct2 | faster-whisper |
| Get the best Hebrew accuracy | whisper-large-v3 | transformers |
| Run on a laptop / whisper.cpp | whisper-large-v3-turbo-ggml | whisper.cpp |
| Run in the browser / ONNX | whisper-large-v3-turbo-onnx | onnxruntime |
| Real-time / on-device streaming | zipformer2-66m-streaming-he | sherpa-onnx |
| Who spoke when (diarization) | pyannote-speaker-diarization-3.1 | pyannote.audio |
| Transcribe Yiddish | yi-whisper-large-v3-turbo | transformers |
# pip install faster-whisper
from faster_whisper import WhisperModel
model = WhisperModel("ivrit-ai/whisper-large-v3-turbo-ct2")
segments, _ = model.transcribe("audio.wav", language="he")
print(" ".join(s.text for s in segments))
No code? Try it in .
π Leaderboards & arenas
- Hebrew Transcription Leaderboard β compare Hebrew ASR models
- TTS Arena Hebrew β vote on Hebrew text-to-speech
- Hebrew Handwriting OCR Leaderboard
ποΈ Datasets
| Collection | What's inside |
|---|---|
| Hebrew ASR training | crowd-transcribe-v5, crowd-recital, whisper-training |
| Knesset speech | knesset-plenums, VoxKnesset, knesset-committees |
| Raw audio corpus | audio-v2 (+ opus, transcripts) |
| Evaluation | eval-d1, eval-whatsapp, eval-forced-alignment |
| Yiddish | crowd-recital-yi, crowd-whatsapp-yi |
| OCR & TTS | hebrew-handwriting-ocr-benchmark, tts-arena-preferences |
Older versions stay online but are marked Deprecated on their cards.
π€ Contribute
- Record or transcribe Hebrew at ivrit.ai
- Code & issues: GitHub
- Questions: open a Discussion on any repo or email to
infoativrit.ai
π Cite
Marmor, Lifshitz, Snapir, Misgav. Building an Accurate Open-Source Hebrew ASR System through Crowdsourcing. Interspeech 2025. doi:10.21437/Interspeech.2025-460
ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development β arXiv:2307.08720
buckets 1
-
ivrit-ai/zipformer2-66m-streaming-he
Automatic Speech Recognition β’ Updated β’ 4 -
ivrit-ai/whisper-large-v3-turbo-ct2
Automatic Speech Recognition β’ Updated β’ 53.4k β’ 28 -
ivrit-ai/whisper-large-v3-turbo
Automatic Speech Recognition β’ 0.8B β’ Updated β’ 12.8k β’ 11 -
ivrit-ai/whisper-large-v3
Automatic Speech Recognition β’ 2B β’ Updated β’ 5.98k β’ 28
-
ivrit.ai Knesset Plenums dataset Preview
πPreview samples from the ivrit.ai Knesset Plenums dataset.
-
ivrit-ai/knesset-plenums-whisper-training
Viewer β’ Updated β’ 864k β’ 1.81k β’ 5 -
ivrit-ai/knesset-plenums
Viewer β’ Updated β’ 1.55k β’ 706 β’ 3 -
ivrit-ai/knesset-committees
Updated β’ 2.11k β’ 3
-
ivrit-ai/zipformer2-66m-streaming-he
Automatic Speech Recognition β’ Updated β’ 4 -
ivrit-ai/whisper-large-v3-turbo-ct2
Automatic Speech Recognition β’ Updated β’ 53.4k β’ 28 -
ivrit-ai/whisper-large-v3-turbo
Automatic Speech Recognition β’ 0.8B β’ Updated β’ 12.8k β’ 11 -
ivrit-ai/whisper-large-v3
Automatic Speech Recognition β’ 2B β’ Updated β’ 5.98k β’ 28
-
ivrit.ai Knesset Plenums dataset Preview
πPreview samples from the ivrit.ai Knesset Plenums dataset.
-
ivrit-ai/knesset-plenums-whisper-training
Viewer β’ Updated β’ 864k β’ 1.81k β’ 5 -
ivrit-ai/knesset-plenums
Viewer β’ Updated β’ 1.55k β’ 706 β’ 3 -
ivrit-ai/knesset-committees
Updated β’ 2.11k β’ 3
spaces 6
Hebrew Transcription Leaderboard
Benchmarking Hebrew Speech-to-Text Models
TTS Arena Hebrew
Vote on Hebrew TTS models!
Hebrew Handwriting OCR Leaderboard
Compare Hebrew handwriting OCR models on a live leaderboard
ivrit.ai Knesset Plenums dataset Preview
Preview samples from the ivrit.ai Knesset Plenums dataset.
BlueTTSV2 - Multilingual text-to-speech With VC
Generate natural multilingual speech from your text