--- title: "#audio-processing articles | Hashnode" description: "Explore 23 articles tagged #audio-processing on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/audio-processing" --- Tag # #audio-processing 23 posts · 0 followers [Mikhail Eshchenko](https://hashnode.com/@maeshchenko) · [Nov 1](https://hashnode.com/posts/a-repeatable-listening-test-for-pitch-shifting-engines/6ae69a4d07a1a62dc292438c) ### [A Repeatable Listening Test for Pitch-Shifting Engines](https://maeshchenko.hashnode.dev/a-repeatable-listening-test-for-pitch-shifting-engines?utm_source=hashnode&utm_medium=feed) A manual comparison procedure for checking vocal identity and artifacts alongside a speaker-similarity metric. 4 min read · [maeshchenko.hashnode.dev](https://maeshchenko.hashnode.dev/a-repeatable-listening-test-for-pitch-shifting-engines?utm_source=hashnode&utm_medium=feed) [Mikhail Eshchenko](https://hashnode.com/@maeshchenko) · [Oct 31](https://hashnode.com/posts/how-i-measured-singer-identity-after-pitch-shifting/6ae67ae3320a0d158697dbc9) ### [How I measured singer identity after pitch shifting](https://maeshchenko.hashnode.dev/how-i-measured-singer-identity-after-pitch-shifting?utm_source=hashnode&utm_medium=feed) I built the Key Changer Engine because I wanted a desktop Chrome transposer that sounded acceptable to my own ears in both directions. Upward vocals could sound too cartoonish to me, while downward sh 5 min read · [maeshchenko.hashnode.dev](https://maeshchenko.hashnode.dev/how-i-measured-singer-identity-after-pitch-shifting?utm_source=hashnode&utm_medium=feed) [roseman gianfranco](https://hashnode.com/@roseman) · [Oct 30](https://hashnode.com/posts/how-to-evaluate-background-noise-remover-for-tutorial-voiceovers/6ae45358c05543d6a37a16b5) ### [How to evaluate a background noise remover for tutorial voiceovers](https://rosemanai.hashnode.dev/how-to-evaluate-background-noise-remover-for-tutorial-voiceovers?utm_source=hashnode&utm_medium=feed) Evaluate a background noise remover using the details that matter in technical voiceovers: complete terminology, quiet speech, natural tone, and video alignment. Compare the documented workflows of Audacity, Audio Cleaner, and Voice Cleaner with a consistent review rubric. 3 min read · [rosemanai.hashnode.dev](https://rosemanai.hashnode.dev/how-to-evaluate-background-noise-remover-for-tutorial-voiceovers?utm_source=hashnode&utm_medium=feed) [Oleksii Herasymchuk](https://hashnode.com/@alexeyyy) · [Oct 18](https://hashnode.com/posts/what-we-learned-building-two-way-voice-translation-for-google-meet/6ad4bdda9497ce6f27a85324) ### [What we learned building two-way voice translation for Google Meet](https://meetvoice.hashnode.dev/what-we-learned-building-two-way-voice-translation-for-google-meet?utm_source=hashnode&utm_medium=feed) Engineering lessons from two-way meeting translation: audio routing, extension and desktop ownership, playback queues, and session cleanup. 6 min read · [meetvoice.hashnode.dev](https://meetvoice.hashnode.dev/what-we-learned-building-two-way-voice-translation-for-google-meet?utm_source=hashnode&utm_medium=feed) [DevDouble2](https://hashnode.com/@double2) · [Oct 14](https://hashnode.com/posts/local-first-audio-offline-speech-to-text/6acf50b91365b39c8b0a3d41) ### [Local-First Audio Engineering: Building High-Performance Offline Speech-to-Text on Apple Silicon and NVIDIA](https://precision.hashnode.dev/local-first-audio-offline-speech-to-text?utm_source=hashnode&utm_medium=feed) A deep architectural dive into squeezing 100% offline transcription, speaker diarization, and zero-Electron shells onto consumer hardware. 4 min read · [precision.hashnode.dev](https://precision.hashnode.dev/local-first-audio-offline-speech-to-text?utm_source=hashnode&utm_medium=feed) [Aditya Singh](https://hashnode.com/@adii104) · [Sep 13](https://hashnode.com/posts/i-tried-to-glue-mp3s-together-and-ffmpeg-humbled-me/6aa6f864796049318582f4ca) ### [I Tried to Glue MP3s Together and FFmpeg Humbled Me](https://adi-read-write.hashnode.dev/i-tried-to-glue-mp3s-together-and-ffmpeg-humbled-me?utm_source=hashnode&utm_medium=feed) Why concatenating MP3 files causes glitches, how FFmpeg's decode → encode pipeline actually works, and what codecs and containers really are. 7 min read · [adi-read-write.hashnode.dev](https://adi-read-write.hashnode.dev/i-tried-to-glue-mp3s-together-and-ffmpeg-humbled-me?utm_source=hashnode&utm_medium=feed) [Ace Data Cloud](https://hashnode.com/@acedatacloud) · [Aug 7](https://hashnode.com/posts/a-practical-guide-to-audio-transcription-with-an-openai-compatible-api/6a766226627b355f17948b9c) ### [A Practical Guide to Audio Transcription with an OpenAI-Compatible API](https://acedatacloud.hashnode.dev/a-practical-guide-to-audio-transcription-with-an-openai-compatible-api?utm_source=hashnode&utm_medium=feed) Turn audio into text, subtitles, and word-level timestamps with one multipart endpoint. 4 min read · [acedatacloud.hashnode.dev](https://acedatacloud.hashnode.dev/a-practical-guide-to-audio-transcription-with-an-openai-compatible-api?utm_source=hashnode&utm_medium=feed) [Ace Data Cloud](https://hashnode.com/@acedatacloud) · [Aug 7](https://hashnode.com/posts/how-to-transcribe-audio-with-an-openai-compatible-api-beginner-s-guide/6a76620241bef8f295178133) ### [How to Transcribe Audio with an OpenAI-Compatible API (Beginner's Guide)](https://acedatacloud.hashnode.dev/how-to-transcribe-audio-with-an-openai-compatible-api-beginner-s-guide?utm_source=hashnode&utm_medium=feed) A practical walkthrough for turning audio into text, subtitles, and word-level timestamps. 4 min read · [acedatacloud.hashnode.dev](https://acedatacloud.hashnode.dev/how-to-transcribe-audio-with-an-openai-compatible-api-beginner-s-guide?utm_source=hashnode&utm_medium=feed) [UnMix VocalRemover](https://hashnode.com/@unmix) · [Aug 6](https://hashnode.com/posts/understanding-ai-stem-separation-how-modern-audio-separation-works/6a747fc3fe83346f5fbe5a28) ### [Understanding AI Stem Separation: How Modern Audio Separation Works](https://unmix.hashnode.dev/understanding-ai-stem-separation-how-modern-audio-separation-works?utm_source=hashnode&utm_medium=feed) Stem separation is the process of splitting a mixed audio track into individual components, commonly called stems. 2 min read · [unmix.hashnode.dev](https://unmix.hashnode.dev/understanding-ai-stem-separation-how-modern-audio-separation-works?utm_source=hashnode&utm_medium=feed) [disha](https://hashnode.com/@d1shaa) · [Apr 29](https://hashnode.com/posts/beyond-black-boxes-architecting-a-text-guided-audio-separator/69f236fd6e0124c05e36f8a1) ### [Beyond Black Boxes: Architecting a Text-Guided Audio Separator](https://audioseparation.hashnode.dev/beyond-black-boxes-architecting-a-text-guided-audio-separator?utm_source=hashnode&utm_medium=feed) We’ve spent the last decade teaching machines to understand pixels, paragraphs, and polygons. But audio? We still treat it like a sealed container. You get one file. One mix. If you want just the bass 5 min read · [audioseparation.hashnode.dev](https://audioseparation.hashnode.dev/beyond-black-boxes-architecting-a-text-guided-audio-separator?utm_source=hashnode&utm_medium=feed) [1](https://hashnode.com/posts/beyond-black-boxes-architecting-a-text-guided-audio-separator/69f236fd6e0124c05e36f8a1)