ipotapov

6 ms·

31.
by ipotapov 6mo ago
I built speech-swift, which focuses on on-device ASR and TTS, similar to Parlor Jarvis's multilingual capabilities, but specifically optimized for Apple Silicon with 52 languages and a real-time factor of 0.06. It also includes speaker
32.
MLX vs. CoreML on Apple Silicon: A Practical Guide to Picking the Right Back End(old.reddit.com)
1 points by ipotapov 6mo ago|0 comments
33.
MLX vs. CoreML on Apple Silicon: A Practical Guide to Picking the Right Back End(blog.ivan.digital)
2 points by ipotapov 6mo ago|0 comments
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Parakeet Streaming ASR on Apple Silicon via CoreML – and Swift Demo App(old.reddit.com)
3 points by ipotapov 6mo ago|0 comments
35.
Show HN: Monetary policy tracker – AI sentiment analysis of 26 central bank(monetary.live)
1 points by ipotapov 6mo ago|0 comments
36.
PixelSmile: Toward Fine-Grained Facial Expression Editing(arxiv.org)
2 points by ipotapov 7mo ago|0 comments
37.
Nvidia PersonaPlex 7B on Apple Silicon: Full-Duplex Speech-to-Speech in Swift(blog.ivan.digital)
374 points by ipotapov 7mo ago|125 comments
38.
The Modern Search Engine: The Complete Pipeline – How It Ranks Results(blog.ivan.digital)
1 points by ipotapov 7mo ago|0 comments
39.
Fine-Tuning Qwen3 Embeddings for product category classification(blog.ivan.digital)
2 points by ipotapov 7mo ago|0 comments
40.
Full speech pipeline in native Swift/MLX – ASR, TTS, speech-to-speech, on-device(github.com)
5 points by ipotapov 7mo ago|2 comments
41.
by ipotapov 7mo ago
Been building this for a few months now and it's turned into a complete on-device audio pipeline for Apple Silicon: ASR (Qwen3) → TTS (Qwen3 + CosyVoice, 10 languages) → Speech-to-Speech (PersonaPlex 7B, full-duplex) → Speaker Diarizat
42.
by ipotapov 8mo ago
You mention using MathJax for LaTeX rendering, which is great for web compatibility. Have you explored the potential limitations of rendering text due to the lack of Pango? This might affect clarity in complex equations. Also, any thoughts
43.
by ipotapov 9mo ago
Regarding the user instruction aggregation process in the agent loop, I'm curious how you manage context retention in multi-turn interactions. Have you explored any techniques for dynamically adjusting the context based on the evolving
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by ipotapov 9mo ago
The 'Broad Safety' guideline seems vague at first, but it might be beneficial to incorporate user feedback loops where the AI adjusts based on real-world outcomes. This could enhance its adaptability and ethics over time, rather t
45.
by ipotapov 9mo ago
Been using GitHub Copilot to handle the tedious webpack/babel config files and it's a game changer for modern web dev. No more spending hours debugging build pipeline issues - it generates 90% correct configs that just need minor