Faster Whisper Small.en
Faster Whisper Small.en is a converted version of the OpenAI Whisper small.en model adapted for the CTranslate2 inference engine. It supports English automatic speech recognition tasks and is hosted on Hugging Face by Systran under the MIT license.
The repository contains the model weights transformed from the original openai/whisper-small.en using the ct2-transformers-converter tool with float16 quantization. Model weights are stored in FP16 format, which can be adjusted at load time through the compute_type option. It is explicitly intended for use in CTranslate2 or any project built on CTranslate2, including the faster-whisper library.
Usage follows the faster-whisper Python API. Code examples load the model with WhisperModel("small.en"), call transcribe on an audio file such as audio.mp3, and iterate over resulting segments that provide start time, end time, and transcribed text. The conversion process also copies the tokenizer.json file into the output directory.
The model addresses efficient local inference for English speech-to-text on compatible hardware. It is delivered as a downloadable repository of model files on the Hugging Face platform rather than a standalone application.
Overview
3 featuresIn the Speech to text space, Faster Whisper Small.en takes a focused approach. It focuses on running fast and efficient English speech-to-text transcription locally using optimized Whisper models. It is built as an open-source project for developers. The project is open source (MIT). It runs on the web and the command line.
Systran builds and maintains Faster Whisper Small.en, and it first shipped in 2018. The project is developed in the open on GitHub with 4.6k stars and 21 commits in the last 90 days. PulseGate's similarity index places it among 7 comparable projects. Among its 3 catalogued features are Speech Recognition, CTranslate2 Format, and English Transcription.
Summary written by a language model from the project’s public pages.
- Speech Recognition
- CTranslate2 Format
- English Transcription
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- openai
- dall- in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed21 Jul · 17:15 UTCSystran/faster-whisper-small.en verified against its public sourceSource: PulseGate · Open
Frequently asked questions about Faster Whisper Small.en
- What is Faster Whisper Small.en?
- Faster Whisper Small.en focuses on running fast and efficient English speech-to-text transcription locally using optimized Whisper models. It is catalogued under Speech to text on PulseGate.
- Who should use Faster Whisper Small.en?
- Faster Whisper Small.en is an open-source project built for developers.
- Does Faster Whisper Small.en have a free plan?
- Yes — Faster Whisper Small.en is open source under the MIT license and free to use.
- What platforms does Faster Whisper Small.en run on?
- Faster Whisper Small.en runs on the web and the command line.
- Is Faster Whisper Small.en still active?
- The GitHub repository shows 21 commits in the last 90 days.
- What are alternatives to Faster Whisper Small.en?
- Similar projects tracked by PulseGate include Faster Whisper Small, Faster Whisper Large, and Faster Whisper Tiny.en.Faster Whisper SmallFaster Whisper LargeFaster Whisper Tiny.en
- Who develops Faster Whisper Small.en?
- Faster Whisper Small.en is developed by Systran.
- When did Faster Whisper Small.en launch?
- Faster Whisper Small.en first shipped in 2018.
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