41554 blogs · [ { "id": "01a08791-cf3c-707f-b42f-de4c59fe701b", "title": "What happened to Coqui?", "url": "http://jrmeyer.github.io/misc/2026/07/30/what-happened-to-coqui.html", "published_at": "2026-07-30T00:00:00+00:00" }, { "id": "01a08791-cf3c-707f-b42f-de4c5abbcf71", "title": "Replacing Apple Dictation with Moonshine Flow (local)", "url": "http://jrmeyer.github.io/asr/2026/03/26/moonshine-flow.html", "published_at": "2026-03-26T00:00:00+00:00" }, { "id": "01a08791-cf3c-707f-b42f-de4c5b55494f", "title": "Displaying Images in Claude Code", "url": "http://jrmeyer.github.io/misc/2026/03/09/ghostty-image-mcp.html", "published_at": "2026-03-09T00:00:00+00:00" }, { "id": "01a08791-cf3c-707f-b42f-de4c5b694eca", "title": "Watercolor Shaders for Ghostty", "url": "http://jrmeyer.github.io/misc/2026/02/21/ghostty-watercolors.html", "published_at": "2026-02-21T00:00:00+00:00" }, { "id": "01a08791-cf3c-707f-b42f-de4c5c61c5ed", "title": "An Overview of Multi-Task Learning in Speech Recognition", "url": "http://jrmeyer.github.io/asr/2020/03/21/overview-mtl-in-asr.html", "published_at": "2020-03-21T00:00:00+00:00" }, { "id": "01a08791-cf3c-707f-b42f-de4c5d0e0580", "title": "My INTERSPEECH Schedule", "url": "http://jrmeyer.github.io/asr/2019/08/17/INTERSPEECH-schedule.html", "published_at": "2019-08-17T00:00:00+00:00" }, { "id": "01a08791-cf3c-707f-b42f-de4c5d416434", "title": "Kaldi Troubleshooting Head-to-Toe", "url": "http://jrmeyer.github.io/asr/2019/08/17/Kaldi-troubleshooting.html", "published_at": "2019-08-17T00:00:00+00:00" }, { "id": "01a08791-cf3c-707f-b42f-de4c5d4f0876", "title": "Kaldi Hyperparameter Cheatsheet", "url": "http://jrmeyer.github.io/asr/2019/08/17/Kaldi-cheatsheet.html", "published_at": "2019-08-17T00:00:00+00:00" }, { "id": "01a08791-cf3c-707f-b42f-de4c5dfb0cbb", "title": "How we added Kyrgyz to Mozilla's Common Voice project", "url": "http://jrmeyer.github.io/misc/2019/05/29/mozilla-kyrgyz-common-voice.html", "published_at": "2019-05-29T00:00:00+00:00" }, { "id": "01a08791-cf3c-707f-b42f-de4c5e6c4bcd", "title": "How to Train practically any Model from practically any Data with TensorFlow", "url": "http://jrmeyer.github.io/machinelearning/2019/05/29/tensorflow-dataset-estimator-api.html", "published_at": "2019-05-29T00:00:00+00:00" } ] posts Claim your blog

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