Learn Chinese with Live-Transcriptions of Radio Taiwan International
Contribute to yunusabd/radio-transcription development by creating an account on GitHub.
Learn Chinese with Live-Transcriptions of Radio Taiwan International launched on October 28, 2021 with 21 votes, #1,149 of 2,933 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 4 years on.
In plain words
Learn Chinese with Live-Transcriptions of Radio Taiwan International is a language learning tool that uses real-time transcriptions from Radio Taiwan International broadcasts to help users improve their Chinese. Designed for language learners seeking authentic listening practice, the tool combines actual radio content with transcriptions to support pronunciation and comprehension. The resource is open-source and available on GitHub, making it accessible to anyone interested in learning Mandarin Chinese through practical, real-world audio materials.
written from the facts on this page · September 2026
Does a similar job
all alternatives →- ITI trained a 9M speech model to fix my Mandarin tonesJan 2026 · simedw.com · ▲469
Built this because tones are killing my spoken Mandarin and I can't reliably hear my own mistakes. It's a 9M Conformer-CTC model trained on ~300h (AISHELL + Primewords), quantized to INT8 (11 MB), runs 100% in-browser via ONNX Runtime Web. Grades per-syllable pronunciation + tones with Viterbi forced alignment. Try it here: https://simedw.com/projects/ear/
- MTMandarin Tone Trainer – A ‘Helping Ear’ for Mandarin Pronunciation2019 · mandarintonetrainer.com · ▲237
Live in-browser AI transcription and translation2024 · github.com · ▲15A realtime, live transcription and translation app that works locally using a browser. Built with Huggingface Transformer.js and Supabase Realtime. Realtime in-browser speech-to-text with OpenAI Whisper! Broadcast to subscribed clients with Supabase Realtime. Translate to 200 languages with Meta's NLLB-200! Demo & source code https://supabase.link/realtime-ai-yt Shoutout to @xenovacom for building Transformers.js and providing plenty of examples at https://huggingface.co/docs/transformers.js/en/index#example...
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