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Meta AI has launched a new speech to text model that supports 1,100 languages. The demo is impressive, with people speaking in languages I had never heard about. Meta AI calls it Massively Multilingual Speech, or MMS, and it can support these languages. The most important thing is that this model is open source. The … Read more
You can transcribe a 30 minute audio in just 30 seconds using Whisper JAX. Whisper is an open source library from OpenAI that can transcribe speech to text. It is one of the most popular options with a permissive license for speech recognition. JAX is an open source Python library developed by Google for high … Read more
Imagine you have 10 hours of audio and you want to ask questions using a large language model. That usually means setting up a vector database and a lot of plumbing. AssemblyAI has a new framework called LeMUR that applies large language models to transcribed speech. With LeMUR, you can transcribe a 10-hour audio clip … Read more
This is a completely new text-to-speech model. It is open source and quite amazing. If you have used 11 Labs before, this is brilliant stuff like that but open source. You give a text and it can generate audio with naturally sounding voices. You can add laughter and pauses. I wanted to show how to … Read more
In this Python tutorial I’m going to show you how to do speech to text in just three lines of code using the Hugging Face Transformers pipeline with OpenAI Whisper. Automatic speech recognition is not a very simple task to do, but since Whisper came out there are a lot of applications being built because … Read more
Podcast transcription is useful for listeners who prefer reading and for creators who want search engine optimization, timestamps, and easier content discovery. There are plenty of tools that solve this, but I wanted an open source path you can run and ship yourself. The goal here is a simple web application where you paste a … Read more
The best speech to text in Python in 2026 is OpenAI Whisper. In less than three lines of Python, you can run a state of the art deep learning model for automatic speech recognition. Here is how I set it up, picked models, and compared results on real audio. Set up OpenAI Whisper Speech Recognition … Read more
I built a YouTube Shorts caption creator where you can upload a video, add captions in English, embed them into the video, and download the captioned output. This is common across short-form content on podcasts, LinkedIn, Twitter, TikTok, and YouTube. It works for English and other languages, including mixed-language speech like Tamil with English words. … Read more
You can do speech transcription the same way you do NLP with Hugging Face Transformers. The latest update adds the very popular Facebook Wav2Vec2 model. The API lets you give an audio file and get an English transcription out of it. As far as I know, this model works fine for English. I ran it … Read more
I am building a YouTube Speech-to-Text Summarization project that goes beyond using YouTube captions. I convert the audio from a YouTube video into text with automatic speech recognition and then summarize that text. I have not seen a tutorial that actually performs speech recognition on the full audio and then summarizes it. The workflow has … Read more