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Stt En Fastconformer Ctc Large

Developed by nvidia
This is a large automatic speech recognition (ASR) model based on the FastConformer architecture, specifically designed for transcribing English speech into text.
Downloads 1,001
Release Time : 6/8/2023

Model Overview

The model employs the FastConformer architecture and CTC loss function, enabling efficient and accurate conversion of English speech to text.

Model Features

Optimized FastConformer Architecture
Utilizes 8x depthwise separable convolution downsampling, more efficient than standard Conformer models
Multi-dataset Training
Trained on a composite dataset containing thousands of hours of English speech, covering multiple domains and accents
High Performance
Outstanding performance on multiple benchmark datasets, such as achieving a WER as low as 2.1% on the LibriSpeech test set

Model Capabilities

English speech recognition
Audio transcription
Automatic speech-to-text

Use Cases

Speech Transcription
Meeting Minutes
Automatically convert meeting recordings into text transcripts
Accuracy as high as 95% or above
Subtitle Generation
Automatically generate English subtitles for video content
Supports multiple accents and domains
Voice Assistants
Voice Command Recognition
Used for voice control of smart devices
Low latency with high accuracy
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