whisper-writer
vocoder
whisper-writer | vocoder | |
---|---|---|
2 | 1 | |
188 | 3 | |
- | - | |
6.6 | 0.0 | |
11 days ago | almost 2 years ago | |
Python | Python | |
GNU General Public License v3.0 only | MIT License |
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whisper-writer
- Show HN: WhisperWriter β Speech-to-text using OpenAI's Whisper, coded by ChatGPT
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Using ChatGPT to generate a GPT project end-to-end
I've also made six small apps completely coded by ChatGPT (with GitHub Copilot contributing a bit as well). Here are the two largest:
PlaylistGPT (https://github.com/savbell/playlist-gpt): A fun little web app that allows you to ask questions about your Spotify playlists and receive answers from Python code generated by OpenAI's models. I even added a feature where if the code written by GPT runs into errors, it can send the code and the error back to the model and ask it to fix it. It actually can debug itself quite often! One of the most impressive things for me was how it was able to model the UI after the Spotify app with little more than me asking it to do exactly that.
WhisperWriter (https://github.com/savbell/whisper-writer): A small speech-to-text app that uses OpenAI's Whisper API to auto-transcribe recordings from a user's microphone. It waits for a keyboard shortcut to be pressed, then records from the user's microphone until it detects a pause in their speech, and then types out the Whisper transcription to the active window. It only took me two hours to get a working prototype up and running, with additions such as graphic indicators taking a few more hours to implement.
I created the first for fun and the second to help me overcome a disability that impacts my ability to use a keyboard. I now use WhisperWriter literally every day (I'm even typing part of this comment with it), and I used it to prompt ChatGPT to write the code for a few additional personal projects that improve my quality-of-life in small ways. If people are interested, I may write up more about the prompting and pair programming process, since I definitely learned a lot as I worked through these, including some similar lessons to the article!
Personally, I am super excited about the possibilities these AI technologies open up for people like me, who may be facing small challenges that could be easily solved with a tiny app written in a few hours tailored specifically to their problem. I had been struggling to use my desktop computer because the Windows Dictation tool was very broken for me, but now I feel like I can use it to my full capacity again because I can type with WhisperWriter. Coding now takes a minimal amount of keyboard use thanks to these AI coding assistants -- and I am super grateful for that!
vocoder
What are some alternatives?
kaldi-active-grammar - Python Kaldi speech recognition with grammars that can be set active/inactive dynamically at decode-time
shorthanddictation - Dictation program, which uses the reading speed unit syllables per minute
WhisperLive - A nearly-live implementation of OpenAI's Whisper.
rhino - On-device Speech-to-Intent engine powered by deep learning
AI-Waifu-Vtuber - AI Vtuber for Streaming on Youtube/Twitch
playlist-gpt - πΆπ©βπ» A fun little web app that analyzes your Spotify playlists with help from OpenAI's language models.
easy-chat - A ChatGPT UI for young readers, written by ChatGPT
whisper-openai-gradio-implementation - Whisper is an automatic speech recognition (ASR) system Gradio Web UI Implementation
VardaGPT - Associative memory-enhanced GPT-2 model
LiveWhisper - A nearly-live implementation of OpenAI's Whisper, using sounddevice. Requires existing Whisper install.