This is the Windows app named whisper-timestamped whose latest release can be downloaded as v1.15.9sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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whisper-timestamped
DESCRIPTION
Multilingual Automatic Speech Recognition with word-level timestamps and confidence. Whisper is a set of multi-lingual, robust speech recognition models trained by OpenAI that achieve state-of-the-art results in many languages. Whisper models were trained to predict approximate timestamps on speech segments (most of the time with 1-second accuracy), but they cannot originally predict word timestamps. This repository proposes an implementation to predict word timestamps and provide a more accurate estimation of speech segments when transcribing with Whisper models. Besides, a confidence score is assigned to each word and each segment.
Features
- The start/end estimation is more accurate
- Documentation available
- Confidence scores are assigned to each word
- If possible (without beam search...), no additional inference steps are required to predict word timestamps (word alignment is done on the fly after each speech segment is decoded)
- Special care has been taken regarding memory usage
- Light installation for CPU
- Plot of word alignment
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/whisper-timestamped.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
