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WWgeorgeAssistantIAwillforge.hashnode.devJun 17 · 3 min read

Cut Your Transcription Bill by Trimming Silence Before You Upload

If you transcribe audio at any kind of scale — interviews, podcasts, meetings, research recordings — you're probably paying for a lot of nothing. Literally. Most transcription services bill by the min

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SWsch wwaaaschwwaaa.hashnode.devJun 7 · 10 min read

Building a Rust CLI Mastering Pipeline for Experimental Music

Audio mastering tools usually assume a fairly normal destination. Streaming platform. Film delivery. Club master. Archive. Broadcast. Loud, clean, competitive, normalized. That is useful, but it does

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BByteLoggerbytelogger.hashnode.devJun 1 · 2 min read

denoiser - Clean audio for Dev Screencasts Without a Soundproof Room

The Problem If you've ever recorded a screencast or a demo video, you've probably experienced this: you play it back and all you can hear is the hum of your pc, the fan in the background, or streetnoi

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RLRoberto Lupirlupi.comMay 31 · 5 min read

Deep Cuts Is Now Open Source

Two days ago I wrote about building a music intelligence app in five days with two AI coding agents. That post described a working MVP — a private prototype called music-intelligence that could scan a

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RLRoberto Lupirlupi.comMay 29 · 9 min read

I Built a Music Intelligence App in Five Days with Two AI Coding Agents

For the past few years I've been getting more serious about music production. Not just listening — actually producing. And one of the things producers do constantly is work with reference tracks: comm

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Sstemsplitstemsplit.hashnode.devMay 9 · 3 min read

We Published an Open Stem Separation Benchmark on Hugging Face (4 Models, 50 Tracks)

We run StemSplit — a hosted stem-separation service — and we needed an honest, public, reproducible way to benchmark the models we use against the state of the art. So we built one and open-sourced it. stem-separation-benchmark-2026 is now live on Hu...

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Sstemsplitstemsplit.hashnode.devMay 7 · 8 min read

Audio Stem Separation in Python: Demucs, Spleeter & API Compared (2026 Guide)

You've probably heard the term "stem separation" thrown around in music production, ML research, and audio tooling circles. But what exactly is it, and how do you do it programmatically in Python? This guide is the definitive answer. We'll cover the ...

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Sstemsplitstemsplit.hashnode.devMay 6 · 7 min read

How to Extract Acapella from Any Song in Python: Demucs, API & YouTube Pipeline (2026)

You're building a remix tool, a karaoke generator, a vocal training dataset, or just trying to get a clean acapella for a mash-up — and you need a programmatic way to strip the instrumental from any audio file. The good news: in 2026 this is a solved...

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MSMartin Schweigervoiceaitrendsandtopics.hashnode.devApr 29 · 13 min read

Voice Agents: Build Real-Time AI Phone Systems (2024)

A recent survey of voice agent builders found that 82% feel confident in their technology—but 55% of end users are frustrated with interruptions, mishearing, and repetition. That gap between builder confidence and user reality gets wider in noisy env...

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LWLewis Woncliolabs.hashnode.devApr 26 · 9 min read

From Loss=36 to Convergence: Integrating Whisper+Gemma2 into Megatron's TransformerEngine

From Loss=36 to Convergence: Integrating Whisper+Gemma2 into Megatron's TransformerEngine When we started debugging our AudioLLM on the Megatron trainer, our loss started at 36. This did not make sens

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#audio

Explore Hashnode

Trending tags this week

Cut Your Transcription Bill by Trimming Silence Before You Upload

Building a Rust CLI Mastering Pipeline for Experimental Music

denoiser - Clean audio for Dev Screencasts Without a Soundproof Room

Deep Cuts Is Now Open Source

I Built a Music Intelligence App in Five Days with Two AI Coding Agents

We Published an Open Stem Separation Benchmark on Hugging Face (4 Models, 50 Tracks)

Audio Stem Separation in Python: Demucs, Spleeter & API Compared (2026 Guide)

How to Extract Acapella from Any Song in Python: Demucs, API & YouTube Pipeline (2026)

Voice Agents: Build Real-Time AI Phone Systems (2024)

From Loss=36 to Convergence: Integrating Whisper+Gemma2 into Megatron's TransformerEngine