Description
Nemotron 3.5 ASR is a state-of-the-art multilingual streaming Automatic Speech Recognition (ASR) model developed by NVIDIA. It is designed to provide high-quality transcription across 40 language-locales, making it a versatile tool for global applications. The model is built on a Cache-Aware FastConformer-RNNT architecture, which enhances computational efficiency by eliminating redundant computations. This allows the model to process only new audio chunks while reusing cached encoder context, significantly reducing end-to-end delay without compromising accuracy.
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The model supports both low-latency streaming and high-throughput batch workloads, making it suitable for various use cases, including voice agent applications. It features native support for punctuation and capitalization, ensuring that transcriptions are not only accurate but also well-formatted. The runtime flexibility of the model allows users to choose from configurable chunk sizes, ranging from 80ms to 1120ms, to optimize the balance between latency and accuracy.
Nemotron 3.5 ASR is equipped with language-ID prompt conditioning, enabling it to transcribe speech across 40 language-locales from a single model. This feature includes automatic language detection, allowing the model to handle mixed-language traffic seamlessly. The model's architecture consists of a FastConformer encoder with 24 layers and an RNNT decoder, leveraging prompts to guide the transcription process.
The model is trained on a massive ASR dataset, including public and proprietary datasets, ensuring robust performance across diverse and challenging acoustic conditions. It is ready for commercial use and can be fine-tuned to improve performance for specific languages or domains. With its advanced features and high efficiency, Nemotron 3.5 ASR is an ideal solution for businesses looking to implement multilingual transcription capabilities.
- CategoryAI Transcription Tools
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsLinux
Nemotron 3.5 ASR Highlights
Multilingual support for 40 languages
Cache-Aware FastConformer-RNNT architecture
Low-latency streaming and high-throughput batch processing
Native support for punctuation and capitalization
Configurable chunk sizes for runtime flexibility
Language-ID prompt conditioning
Automatic language detection
Fine-tuning support for specific languages
Getting Started with Nemotron 3.5 ASR
Access model: Visit Hugging Face
Authenticate: Use API key
Set up environment: Install dependencies
Integrate via API: Use provided endpoints
Optimize: Adjust chunk sizes for latency
Nemotron 3.5 ASR's Use Cases
- Multilingual Transcription
- Voice Agent Applications
- Broadcast Media
- Customer Support
- Education
