#Does scribe support detection of filler word,Is wordlevel timestamps available along with filler w
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The Scribe v1 model does not explicitly mention support for detecting filler words like "uh" or "um." However, it does provide word-level timestamps and features like speaker diarization and audio-event tagging, which can help identify non-speech sounds such as laughter or applause.
If filler words are present in the transcription, there is no indication in the provided documentation that they are labeled or flagged as filler words. Additionally, there is no mention of a built-in feature to automatically eliminate filler words during transcription.
For more details on Scribe v1's capabilities, you can refer to the Speech to Text documentation.
How to enable filler words generation in the word level timestamps
The provided content does not mention whether Scribe v1 supports the detection of filler words, assigns labels to them, or includes them in word-level timestamps. Additionally, there is no information on enabling or eliminating filler words in the transcription process.
For more details or specific inquiries, you may want to explore the Scribe v1 documentation or contact the support team directly.
How to enable word level timestamps
The Scribe v1 model supports word-level timestamps, which provide precise timing for each word in the transcription. These timestamps are included by default when using the Speech-to-Text capabilities of Scribe v1. You can access this feature via the Speech-to-Text API or the website.
However, the provided content does not mention specific support for detecting or labeling filler words, nor does it describe a way to enable or eliminate them in the transcription. If you need further clarification or additional features, you may want to reach out to the ElevenLabs team directly.
In the wordlevel timestamps do we even get filler words along with other words