Tag

dictation

11 posts · all tags

Improving a personal ASR model by using it every day

24 Cheshvan 5787

Improving a personal ASR model by using it every day

How to improve a personal speech-to-text model by using it daily: an agent reviews your transcript history, you confirm the errors, and small fine-tunes follow. A playbook from Parakeet and Hebrish, with a PDF and a Claude Code skill.

speech-recognition fine-tuning dictation +3
Datasets for fine-tuning speech recognition on your own voice

23 Cheshvan 5787

Datasets for fine-tuning speech recognition on your own voice

A guide to my public Hugging Face datasets of read-aloud sentences for fine-tuning speech recognition: tech, Linux, smart home, AI agents, homophones, Hebrew code-switching and voice notes. What each holds and which to use.

speech-recognition datasets hugging-face +2
Fritter: a Parakeet fine-tune for English tech dictation

23 Cheshvan 5787

Fritter: a Parakeet fine-tune for English tech dictation

Fritter is my Parakeet TDT 0.6B v2 fine-tune for English dictation without Hebrew: tech terms, numbers and brand names. Tech WER falls from 7.53% to 4.01% on my voice. Browser demo and GGUF builds.

ai-models hugging-face speech-recognition +3
S1-ASR-Cleanup: cleaning up dictation with a fine-tuned S1-mini

23 Cheshvan 5787

S1-ASR-Cleanup: cleaning up dictation with a fine-tuned S1-mini

A fine-tune of S1-mini by Superwhisper that cleans speech-to-text dictation: paragraphs, dates and money as digits, contractions and fillers handled. 0.6B, with GGUF builds for llama.cpp and phones.

ai-models hugging-face fine-tuning +3
Proofed: could a speech model proofread its own transcript?

23 Cheshvan 5787

Proofed: could a speech model proofread its own transcript?

An idea in development: fine-tune Parakeet on cleanup alone, so dictation comes out without fillers, with digits and paragraphs, in one pass and with no LLM afterwards. Research done, data being recorded.

ideas proof-of-concept speech-recognition +3
Update: a 32 MB model for ASR paragraph breaks

23 Cheshvan 5787 Update

Update: a 32 MB model for ASR paragraph breaks

MiniLM-L12-ASR-Paragraph-Breaks replaces my Gemma 3 270M paragraph model: break F1 0.85 against 0.78, 32 MB instead of 437 MB, and it cannot change a word of the transcript.

ai-models hugging-face dictation +3
The Linux mic slider lies: Mic Monitor shows the real gain

11 Cheshvan 5787

The Linux mic slider lies: Mic Monitor shows the real gain

On Linux, the microphone volume slider is not your mic's analog gain: mine was 60 dB out. Mic Monitor is a KDE Plasma tray app that shows the real gain in dB, clipping and noise floor, tuned for dictation and speech recognition.

speech-recognition dictation linux +3
Adding paragraph breaks to speech-to-text output with Gemma 3 270M

10 Cheshvan 5787

Adding paragraph breaks to speech-to-text output with Gemma 3 270M

A Gemma 3 270M fine-tune that adds paragraph breaks to flat speech-to-text output and changes nothing else. Small enough for on-device use, with an ONNX export. Break F1 0.78 on 26 held-out memos.

ai-models hugging-face fine-tuning +4
Bolding the key lines of a dictated email with Gemma 3 270M

10 Cheshvan 5787

Bolding the key lines of a dictated email with Gemma 3 270M

A preliminary Gemma 3 270M fine-tune that bolds the key lines of a dictated email (the asks, the purpose, the key facts) and changes nothing else. Small enough for on-device use. Word F1 0.62 on six held-out emails.

ai-models hugging-face fine-tuning +3
Boxty v1.0: English dictation without the Hebrew

9 Cheshvan 5787

Boxty v1.0: English dictation without the Hebrew

Boxty is the no-Hebrew sibling of my Jachnun code-switching model: Parakeet fine-tuned on my voice for plain English and tech dictation. Tech WER drops from 2.51% (stock) to 1.35%, and general English holds.

speech-recognition parakeet fine-tuning +3
How much bitrate does an audio-multimodal LLM actually need?

30 Nisan 5786

How much bitrate does an audio-multimodal LLM actually need?

An eval across 12 audio-capable models on OpenRouter, 5 MP3 bitrates, 4 dictation samples. The default upload quality in most dictation apps is 2–4× overprovisioned — and the more interesting finding had nothing to do with bitrate.

audio dictation evals +6