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Whisper Tiny.en

Developed by Xenova
ONNX weight version of OpenAI Whisper-tiny.en model, designed for Transformers.js, used for English speech transcription.
Downloads 33.10k
Release Time : 5/2/2023

Model Overview

This model is a lightweight English speech recognition model based on the OpenAI Whisper architecture, supporting the conversion of English speech to text.

Model Features

ONNX Format Support
Model weights are in ONNX format, suitable for use in web environments.
Timestamp Support
Supports generating transcription results with timestamps, including sentence-level and word-level timestamps.
Lightweight
The tiny version is suitable for resource-constrained environments, such as browser-side applications.

Model Capabilities

English speech recognition
Generating timestamped transcription results
Generating word-level timestamps

Use Cases

Speech transcription
Meeting minutes
Automatically transcribe English meeting recordings into text records
Generate timestamped meeting transcripts
Podcast transcription
Transcribe English podcast content into searchable text
Generate podcast transcripts with chapter markers
Accessibility
Real-time caption generation
Generate real-time captions for English video content
Generate synchronized subtitle files
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