
Every public Ampixa release: demos, sites, models, datasets and code. Newest first where the date is verified (the project's earliest independently verified public date, not necessarily the latest tag); the rest are undated rather than guessed. Links go straight to where each one lives.
An open, lossless, Nepali-first tokenizer. Its phrase build is #1 lossless on Nepali of the 42 we measured (1.267 tokens/word), and v2.0 is the lowest-cost lossless tokenizer on 18 of 19 languages of Nepal.
A decision model: given a state and a set of candidate options, it returns a probability for each option in one forward pass.
A 75-segment, 2,375-word Nepali call-centre ASR benchmark with every system output published.
A 294,642-parameter browser/microcontroller TTS voice; RTF 0.383 on an ESP32-S3, 30 browser voices across 16 languages.
Forced-alignment toolkit and tiered manifests for Nepali ASR training data; 509.5 hours represented, 934 of 1,000 TextGrids aligned.
A comparison of neural and rule-based Nepali grapheme-to-phoneme conversion.
Nepali TTS packaged as the Astadhwani desktop app, exported to ONNX.
A 1.11M-parameter distilled Devanagari character classifier; not detectably different from its 17.32M-parameter teacher ensemble on DHCD (p = 0.345) — not proven equal, but not shown worse.
The blog pipeline: review, style checks, deploy and the git mirror behind ampixa.com/blog.
Rule-based and neural grapheme-to-phoneme models for Dhimal.
A Gurung text-to-speech frontend.
A speech codec kept and published as a negative result: it damages Nepali ASR accuracy.
A Nepali VITS-based text-to-speech model with a live demo.
A shared toolkit registry for the languages of Nepal.
A Limbu text-to-speech Hugging Face Space.
OCR for the Limbu (Sirijonga) script; 0.474% codepoint CER, 0.979% grapheme CER, 85.9% exact lines of 902.
A live Nepali TTS listening-test / MOS collection tool at ampixa.com/listen.
Training code and configs for Nepal TTS models.
Hash-pinned conversion maps from legacy fonts to Unicode across 10 scripts of Nepal and its neighbours.
Two from-scratch 121M-parameter Nepali ASR encoders (offline + streaming); 36.3% WER on NepTel (corrected from an earlier, unreproduced 33.8%).
A live Nepali TTS benchmark and rating arena; 205 synthesis prompts plus 160 references, 6,962 ratings from 180 raters, 5 approved submission reports.
A live newsroom and reading-room Nepali speech demo.
Whole-body pose sequences for the Nepali Sign Language manual alphabet.
A ~340M-parameter bilingual Nepali/English TTS teacher; English WER 3.5%, Nepali CER 12.3%, CPU RTF ≈ 0.45.
A consent-gated Nepali speech recording app; native-speaker review due 2026-11-11.
Code and findings from probing a single neuron inside Qwen3.5-2B.
A login-gated live streaming ASR demo.
A Nepali text-to-speech Hugging Face Space.
A live Ampixa page at ampixa.com/shruti.