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Description

NVIDIA's Parakeet-RNNT-1.1B is an advanced multilingual automatic speech recognition system designed to deliver high-quality transcriptions for various voice applications. Comprising 1.1 billion parameters and having been trained on over 90,000 hours of audio data, it accommodates 25 different languages along with their regional dialects, such as English, Spanish, French, German, Italian, Arabic, Japanese, Korean, Portuguese, Russian, Hindi, Dutch, Danish, Norwegian, Czech, Polish, Swedish, Thai, Turkish, and Hebrew. This innovative model possesses the capability to automatically identify the spoken language and employs a universal tokenizer that integrates language-specific tokenizers into a unified vocabulary for enhanced cross-lingual learning and deployment. Furthermore, Parakeet-RNNT generates transcripts that are case-sensitive, featuring both uppercase and lowercase letters, punctuation, spaces, and apostrophes, thus ensuring that the output meets the rigorous standards required for production-level voice applications and effective downstream language comprehension. Its versatility and robust performance make it a valuable tool in the realm of speech recognition technology.

Description

fastText is a lightweight and open-source library created by Facebook's AI Research (FAIR) team, designed for the efficient learning of word embeddings and text classification. It provides capabilities for both unsupervised word vector training and supervised text classification, making it versatile for various applications. A standout characteristic of fastText is its ability to utilize subword information, as it represents words as collections of character n-grams; this feature significantly benefits the processing of morphologically complex languages and words that are not in the training dataset. The library is engineered for high performance, allowing for rapid training on extensive datasets, and it also offers the option to compress models for use on mobile platforms. Users can access pre-trained word vectors for 157 different languages, generated from Common Crawl and Wikipedia, which are readily available for download. Additionally, fastText provides aligned word vectors for 44 languages, enhancing its utility for cross-lingual natural language processing applications, thus broadening its use in global contexts. This makes fastText a powerful tool for researchers and developers in the field of natural language processing.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

FluidVoice
Gensim
JavaScript
Python
WebAssembly

Integrations

FluidVoice
Gensim
JavaScript
Python
WebAssembly

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

build.nvidia.com/nvidia/parakeet-1_1b-rnnt-multilingual-asr/modelcard

Vendor Details

Company Name

fastText

Website

fasttext.cc/

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Product Features

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