Transcribe Audio Files for Free Using OpenAI Whisper
In this video, the host introduces viewers to transcribing audio files into text using an open-source library provided by OpenAI called Whisper. The video walks through the process of installing Whisper via a pip command, setting up a Python environment, and dealing with a common error related to FFmpeg dependency. The host demonstrates transcription on an MP3 file sourced from LibriVox, highlighting Whisper's language detection and transcription capabilities, including providing timestamps. The video also covers how to use the transcription for various purposes, such as creating subtitles for YouTube or analyzing content with private AI models. The host encourages viewers to try out Whisper for their transcription needs and suggests using the output for further analysis with AI models like GPT.
00:00 Introduction to Audio Transcription with OpenAI's Whisper
00:32 Setting Up the Environment and Installing Whisper
01:36 Downloading and Preparing Audio Files for Transcription
02:29 Troubleshooting and Installing Missing Dependencies
03:19 Transcribing Audio with Whisper and Analyzing the Output
04:31 Exploring Advanced Use Cases and Conclusion
Links used in the video are
https://github.com/openai/whisper
https://www.archive.org/download/tikt...
https://ffmpeg.org/download.html
Смотрите видео Transcribe Audio Files for Free Using OpenAI Whisper онлайн, длительностью часов минут секунд в хорошем качестве, которое загружено на канал bonsaiilabs 09 Май 2024. Делитесь ссылкой на видео в социальных сетях, чтобы ваши подписчики и друзья так же посмотрели это видео. Данный видеоклип посмотрели 9,935 раз и оно понравилось 82 посетителям.
