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What is Nemotron 3.5 Transcribe?

NVIDIA Nemotron 3.5 Transcribe is an open-weight model designed specifically for developers interested in building systems for transcription and audio processing. This innovative model converts audio files into text, providing options for both precise verbatim transcripts and modified versions, and includes advanced features such as contextual vocabulary, speaker identification, word-level timestamps, speech translation, language detection, and audio-based question answering. It supports a comprehensive language matrix featuring 40 languages, although the level of task performance can differ across languages. With the ability to handle recordings lasting up to one hour, this model is optimized for offline use on compatible NVIDIA GPU hardware and supported runtimes, making it versatile for various applications. Developers can easily integrate it into multiple settings, including speech interfaces, media processing, meeting analysis, customer service insights, translation applications, and other tools focused on audio comprehension. Additionally, the model's weights and a fine-tuning toolkit are provided under the OpenMDW-1.1 license, with specific deployment hardware and service requirements based on the application type. This adaptability empowers teams to customize the model for an array of audio processing and transcription needs, enhancing efficiency and user experience. Ultimately, the widespread capabilities of Nemotron 3.5 make it a valuable asset for enhancing communication and accessibility in diverse environments.

What is CloneDub?

Convert your audio into various languages while preserving the unique qualities of the original voices. This service is designed to work with audio files, YouTube videos, or audio links that are no longer than 15 minutes. You can easily upload your audio content, whether it’s a file, a link to a YouTube video, or another audio link directly through our user-friendly platform. Our website is dedicated to transforming podcasts, audio files, and YouTube materials into multiple languages, ensuring that the essence of the speaker's voice remains unchanged. The translation process unfolds in several stages, beginning with the transcription of the audio into text utilizing state-of-the-art speech recognition technology. Next, the text is translated into the desired languages by employing advanced machine translation systems. Finally, the translated text is converted back into speech that closely mirrors the original speaker's tone and inflection. The duration of the translation varies depending on the length of the audio and the selected target language, with shorter pieces typically taking around 3 minutes and longer ones potentially requiring up to 10 minutes. You can upload a variety of audio formats, such as MP3, WAV, or M4A, to utilize this cutting-edge service. In addition, this innovative approach facilitates smooth communication across different languages, broadening the reach of your content to an even larger audience. By leveraging this service, you can ensure that your messages resonate with listeners around the globe.

Media

Media

Integrations Supported

Hugging Face Transformers
NVIDIA NIM
vLLM

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

The model weights and fine-tuning toolkit are available under the OpenMDW-1.1 license. Hardware and inference-serving costs depend on the selected deployment.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

research.nvidia.com/labs/nemotron/NVIDIA-Nemotron-3.5-Transcribe/

Company Facts

Organization Name

CloneDub

Company Website

www.clonedub.com

Categories and Features

AI Models

Not specified

Open-Weight AI Models

Not specified

Speech Recognition

Not specified

Speech to Text

Not specified

Transcription

Not specified

Categories and Features

Machine Translation

Not specified

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