Release Notes

Release 1.5.0

Key Features and Enhancements

• Added the Parakeet-TDT-0.6b-v2 English ASR model for accurate offline transcription with punctuation, capitalization, and word timestamp support.

• Updated the Parakeet 1.1b CTC English (en-US) NIM to support Speaker Diarization.

• Added language detection support for the Whisper Large v3 and Parakeet 1.1b RNNT Multilingual models.

• Added a profanity filter for the Whisper Large v3 and Parakeet 1.1b RNNT Multilingual models.

• Improved throughput for the Parakeet 1.1b RNNT Multilingual model.

Known Issues

• The Whisper Large v3 NIM does not support NVIDIA B200 GPUs.

• The Whisper Large v3 NIM uses OpenAI’s Whisper model, which may result in hallucinations, inaccuracies, and incorrect inverse text normalizations in some cases.

• The profanity filter may not work for non-English languages in some cases.

• The Parakeet 0.6b TDT model uses chunked inference and can sometimes produce incorrect transcripts compared to the NeMo model. Refer to Model Accuracy for details.

• Canary models may produce incorrect translations for certain languages such as Spanish (es-ES) and Korean (ko-KR).

• ASR HTTP API (Whisper) accepts only file, model, and language parameters in the request. All other parameters are ignored.

• ASR gRPC API (Whisper)

  • Supports only the offline Recognize API.

  • Does not support customization parameters (e.g. profanity_filter, enable_word_time_offsets, enable_automatic_punctuation, verbatim_transcripts) in the RecognitionConfig message.

• SSL/TLS encryption does not support TTS APIs. MTLS encryption is not supported in this release.