word-timestamps-extractor

To extract word-level timestamps for subtitle synchronization, you can use this Skill to process audio files with faster-whisper or OpenAI Whisper, generating a TOML file containing precise timing details for each spoken word and sentence.

Yes, faster-whisper supports word timing extraction for Vietnamese audio content. This Skill leverages faster-whisper or OpenAI Whisper to accurately identify when each word is spoken, making it ideal for processing Vietnamese voice recordings.

To generate a TOML transcript with precise word timing, provide your source audio file to the Skill. It processes the audio using Whisper and outputs detailed timing information for each word and sentence in TOML format.

Yes, you need pyparsing installed to generate word timestamps from audio. While faster-whisper or OpenAI Whisper handles the audio transcription, pyparsing is explicitly required for the TOML generation process.

Yes, OpenAI Whisper can be used for semantic asset mapping through audio transcription. This Skill extracts accurate word-level timing from audio, providing the precise transcript timing necessary to map semantic assets effectively.