Https://elevenlabs.io/ And choose German for a sample. Not sure if it’s good enough for your needs but they have a wide variety of languages and voices. - Source: Hacker News / 9 days ago

Since a true Babel fish doesn't produce text we also used ElevenLabs for text-to-speech. - Source: dev.to / about 2 months ago

Sharpen your speech with Superwhisper. Turn text into talk with Elevenlabs, improving pronunciation without the pressure. - Source: dev.to / 3 months ago

With curent ai technology and some knowledge and 4090 you can make audiobook using voices of anybody with perfect diction 0 syntethic voice and superb audiobook like quality. Check it how it sound there https://elevenlabs.io/. Source: 6 months ago

These two things would, with modern tech, allow you to recreate a persons appearance (at least face) and their voice (via AI like elevenlabs). Kojima is gonna let you put yourself in the game. Source: 6 months ago

The auto caption is from assemblyai.com, they do a pretty good job. As for manual, you can do `Add Layer` > `Text` from the short-form editor then trim each text layer. Its slow going though. Ideally we will figure out a better interface and build it. For now I recommend using the auto caption, then modifying it to your liking, if there is more than a few words it will probably be faster. Thanks for the kind words! Source: about 1 year ago

Assemblyai is a great tool for extracting transcripts from videos, I have used it for investor presentations from other sources. - Source: dev.to / almost 2 years ago

AssemblyAI is pioneering accurate and accessible speech recognition powered by cutting edge Deep Learning, Machine Learning, and AI research. Its Speech-to-Text API transcribes audio and video files and live audio streams with industry-best accuracy. In addition, the company offers Audio Intelligence APIs that secure higher ROI for users, including Sentiment Analysis, Topic Detection, Content Moderation, Auto... - Source: dev.to / over 2 years ago

Check out http://assemblyai.com/ - the API has pretty good Diarization results and is free for small volumes of data. Source: over 2 years ago

Hello r/python community. I spent a couple weeks analyzing some podcast data from Up First and The Daily over the last year, 8/21/2020 to 8/21/2021 and compared spikes in the frequency of negative news in the podcast to how the stock market performed over the last year. Specifically against the DJIA, the NASDAQ, and the price of Gold. I used Python Selenium to crawl ListenNotes to get links to the mp3 files,... Source: almost 3 years ago