- model.transcribe takes really long time on a short 🔍
- Hugging face model not transcribing the entire length of the audio file🔍
- Why Are My Transcribe To Text's taking so long 🔍
- transcripting is taking too long🔍
- Transcribing longer audio files🔍
- ideal video length that can be transcribed by whisper? #136🔍
- How to use whisper to handle long video?🔍
- Whisper openai low processing speed with large files🔍
model.transcribe takes really long time on a short
model.transcribe takes really long time on a short (5 sec) mp3 file #374
Hi. I have a simple mp3 file that was downloaded from YouTube and it takes ~1 minute for the transcription. I tried it with other files, ...
Transcribe() lines are WAY too long -- for both subtitles and karaoke
Transcription does not really require super accurate syllable level timing information, it actually sounds like a different speech to text model ...
Hugging face model not transcribing the entire length of the audio file
In case that you have a very long audio file, we can chunking the initial audio file into shorter samples (e.g. 10 seconds for each chunk) ...
Why Are My Transcribe To Text's taking so long : r/premiere - Reddit
My premiere pro ai captions are estimating around 13 hours every time but when I see youtube videos, theres is like instant, is there any fix?
transcripting is taking too long, plz help : r/premiere - Reddit
I already did all the cuts and the video is like 20mins long. When i was trying to transcribe there was only the option to transcribe the source ...
Transcribing longer audio files - DeepSpeech - Mozilla Discourse
I am running this on Windows 10, with a nVidia RTX 2080 GPU. For shorter files, I get pretty reasonable outputs. For longer, however, it seems that the ...
ideal video length that can be transcribed by whisper? #136 - GitHub
The model natively supports 30-second inputs, and for audio inputs longer than that, we're using a set of (hacky) heuristics to perform transcription on ...
How to use whisper to handle long video? - OpenAI Developer Forum
And it seems to use “–model medium,” not “large V3.” Is that ... takes very long time and I cannot do almost real-time transcription.
Whisper openai low processing speed with large files - Stack Overflow
I'm developing a web tool to transcribe audio/video to text or subtitles using open ai whisper library in python. It's working fine but the problem is it is ...
Audio transcription with OpenAI Whisper on Raspberry PI 5.
A transcription process takes approximately 6 seconds on average for a 10-second audio. It looks like we can transcribe more than real-time ...
Fine tuning Whisper for Speech Transcription - YouTube
Fine-tuning Large Language Models (LLMs) | w/ Example Code. Shaw ... Can Whisper be used for real-time streaming ASR? Efficient NLP•11K ...
OpenAI Whisper: How to Transcribe Your Audio to Text, for Free ...
How Long Does Whisper Take? ... It depends on the length of your file and what type of hardware you have access to! When we ran the medium.en Whisper model on the ...
Re: Transcription taking a long time. - Adobe Community
Using audio track only (A1) and transcribing only from in-point to out-point. The clip is 48 seconds in duration. The transcription appears to ...
Making OpenAI Whisper faster - Nikolas' Blog
However, transcribing audio with these models still takes time ... The original large-v2 Whisper model takes 4 minutes and 30 seconds to ...
Transcribing Video – 1st time experience with whisper - datafireball
Long story short, you should really follow the documentation from pytorch's website. ... model can be used for real time transcription.
Speech-to-Text | Quickly get a transcription of a large audio file in ...
segments, info = model.transcribe( "audio.mp3", beam_size=5 ... Starting with Whisper Large V3 for Real-Time Audio Transcription in Python ...
Transcribing Long Audios with Whisper using Python and ... - Gladia
This method is not only impractical and time-consuming but also reduces the quality of the resulting transcription, which poses a huge inconvenience for ...
Transcription Modes, Explained - TurboScribe
Finally, Whale takes about 3 minutes to transcribe the same 1 hour audio file (with the massive 1.55 billion parameter Whisper "large-v2" model):.
Comparing The Cost Of Running OpenAI's Whisper Vs Google's ...
... time to transcribe even the largest audio archives. ... Both Large models require too much memory to run multiple instances at a time ...
Transcribe long audio files into text | Cloud Speech-to-Text V2 ...
Use asynchronous speech recognition to transcribe audio that is longer than 60 seconds. For shorter audio, synchronous speech recognition is faster and simpler.