Daniel Rosehill Blog

Exploring technology, AI, business insights, and personal reflections from a curious mind

65 hours of my own voice: an index of my speech datasets

3 Kislev 5787

65 hours of my own voice: an index of my speech datasets

64.7 hours and 46,227 takes of my own voice as of 13 November 2026: how the audio datasets on Hugging Face fit together, the hours in each, and the models they feed (Sabich, Fritter, Falafel).

speech-recognition datasets hugging-face +2
Hebrish weekend update: why I train the models, how the data is made, and what is next

3 Kislev 5787 Update

Hebrish weekend update: why I train the models, how the data is made, and what is next

A video update on Hebrish, my English-Hebrew dictation project: why I fine-tune my own speech models, how the training data is made, the model lineup, and what the project needs next.

speech-recognition hebrish code-switching +2
How I record training data for my own speech-to-text models

3 Kislev 5787

How I record training data for my own speech-to-text models

About 65 hours of my own voice so far: the recording app Claude Code built, a Logitech gamepad as the controller, how the sentences are made, and the speech models it all feeds. With the video.

speech-recognition fine-tuning dictation +2
Fritter has a new home: English dictation for technical vocabulary

3 Kislev 5787 Update

Fritter has a new home: English dictation for technical vocabulary

Fritter, my English dictation model for technical vocabulary, moves to its own Fritter-ASR organisation, reaches v1.5 and ships in Anti-Vocale. Plus the version manifest other apps can use.

speech-recognition fine-tuning dictation +2
Meorav: speech synthesis for English-Hebrew code-switching

29 Cheshvan 5787

Meorav: speech synthesis for English-Hebrew code-switching

Meorav is my text-to-speech model for English with Hebrew words dropped in, the way English speakers in Israel talk. Irish accent included. v2.2 is a Qwen3-TTS fine-tune on 5.5 hours of my voice. Before and after samples.

ai-models text-to-speech voice-cloning +5

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Fritter v1.3, a vocabulary cloud and a public tracker

28 Cheshvan 5787 Update

Fritter v1.3, a vocabulary cloud and a public tracker

Fritter, my English dictation fine-tune for tech vocabulary, is at v1.3. The demo now opens with a moving cloud of the real terms it was trained on, and the project has a public tracker repo.

speech-recognition fine-tuning dictation +2
One search for skills and MCP tools: introducing Canopy

27 Cheshvan 5787

One search for skills and MCP tools: introducing Canopy

Canopy is self-hosted progressive discovery for AI agents: one search across skills, plugins and MCP tools, so nothing loads until it's needed. How it works, how it differs, and how to install it.

mcp agent-skills ai-gateway +3
Forty-four hours of my own voice: my audio datasets on Hugging Face

27 Cheshvan 5787

Forty-four hours of my own voice: my audio datasets on Hugging Face

My speech datasets on Hugging Face, now in one collection and one index: about 44 hours of my own voice, across 39 datasets on my personal account and the Hebrish organisation, and how the hours split.

hugging-face speech-recognition fine-tuning +3
Hebrish update: 31 hours of audio, and tech vocabulary isn't hurting the Hebrew

27 Cheshvan 5787

Hebrish update: 31 hours of audio, and tech vocabulary isn't hurting the Hebrew

Sabich, my English-Hebrew dictation model, has gone from ten hours of audio to 31 and is now a rolling release. Here's the five-part blend, and the first results on whether tech vocabulary costs accuracy on Hebrew words.

hebrish speech-recognition code-switching +3
Fritter gets a streaming version and direct downloads

26 Cheshvan 5787 Update

Fritter gets a streaming version and direct downloads

Fritter, my English dictation fine-tune for technical vocabulary, is at v1.2 with a first streaming version. Both now download directly from plain URLs, and here is how it differs from my code-switching model.

speech-recognition fine-tuning dictation +2