Parakeet TDT-CTC 0.6B for Japanese Is Now Available on EveryScribe — NVIDIA's Dedicated Japanese ASR Model

touko 14, 2025

Parakeet TDT-CTC 0.6B for Japanese — NVIDIA's dedicated Japanese speech recognition model — is now available in EveryScribe's Private Transcriber. For users who need the highest accuracy Japanese ASR available in a browser-based, fully private environment, this is it.

What Is Parakeet TDT-CTC 0.6B (Japanese)?

This model is a member of NVIDIA's Parakeet ASR family, but it was trained specifically and exclusively on Japanese speech data. Unlike multilingual models that spread their capacity across dozens of languages, Parakeet TDT-CTC 0.6B (ja) dedicates all 600 million of its parameters to understanding Japanese phonetics, prosody, and character output.

"TDT-CTC" refers to its hybrid decoder architecture: it can operate as either a Token-and-Duration Transducer (for streaming/real-time use) or a CTC (Connectionist Temporal Classification) decoder for fast batch inference. On EveryScribe, we use the CTC path for efficient local inference.

Benchmark Performance

Japanese ASR accuracy is measured using Character Error Rate (CER) rather than Word Error Rate, because Japanese is character-based — there are no word-boundary spaces. Lower CER is better.

DatasetCER
JSUT (basic5000)6.4%
Common Voice 8.0 (Test)7.1%
TEDxJP-10k9.0%
Common Voice 16.1 (Test)13.2%

A 6.4% CER on JSUT is competitive with the best publicly available Japanese ASR systems, including models many times larger.

Why Japanese Needs a Dedicated Model

Japanese ASR presents challenges that make a dedicated model genuinely worthwhile:

Writing system complexity. Japanese uses three scripts simultaneously — hiragana, katakana, and kanji — often within a single sentence. A general ASR model has to learn all three, plus their interaction rules, which dilutes the available parameter budget. A dedicated model can devote its full capacity to this problem.

Pitch accent. Japanese is a pitch-accent language where the pitch of syllables affects word meaning. This is a fundamentally different phonological structure from English or European languages, and models not specifically trained for it often produce accent-related errors.

Honorific registers. Spoken Japanese varies significantly by politeness register (casual, polite, formal). The Parakeet Japanese model was trained on diverse data covering multiple registers.

Dense vocabulary. Technical Japanese — medical, legal, financial, engineering — uses a dense vocabulary drawn from Chinese characters (on'yomi) with specific phonetic realizations. The JSUT benchmark tests this. The model's 6.4% CER on JSUT reflects strong handling of this vocabulary.

Native Punctuation Output

Like its multilingual sibling (Parakeet v3), the Japanese model produces properly punctuated output — Japanese-style periods (。), commas (、), and appropriate sentence structure — without requiring post-processing. This is important for Japanese because punctuation in transcribed text affects readability significantly.

625 MB, Runs in Your Browser

The model we ship is a quantized INT8 ONNX export, totaling 625 MB. It runs via WebAssembly in your browser. Once downloaded, Japanese transcription happens entirely locally — your audio stays on your device.

When to Choose Parakeet Japanese

This model is the right choice when:

  • Your audio is primarily or entirely in Japanese
  • You need the highest accuracy for Japanese — especially formal, technical, or polished speech
  • You're transcribing video content, lectures, meetings, or interviews in Japanese
  • Punctuation quality matters for your output
  • Privacy is essential — your Japanese audio should not be sent to any cloud service

For general East Asian language coverage (including Japanese alongside Chinese and Korean), SenseVoice is also a strong option at a smaller model size.

Get Started

Visit everyscribe.com/dashboard/offline-transcriber, select Parakeet TDT-CTC 0.6B (Japanese) from the ASR model dropdown, and download it once. All transcription runs locally in your browser.


The model is developed by NVIDIA's NeMo team. The framework source is on GitHub and the specific Japanese model weights are available on Hugging Face. Thanks to NVIDIA for their continued commitment to language-specific ASR excellence.

The EveryScribe Team

The EveryScribe Team