trans-local-speech-models

Trans local speech models

Versioned, data-only runtime packages for local speech recognition in Trans. These are conversions of the credited upstream models, not models trained by AladdinChen. The original authors retain their rights. No endorsement is implied.

Each package is downloaded separately. Recognition runs on the user's device; this repository contains no hosted inference service, recordings, training data, app credentials, or application code.

See LICENSES.md for source authors, licenses and modification notices. Full license texts and preserved upstream notices are in licenses/ and provenance/. Redistributors must retain the notices and meet the applicable per-model license conditions. This is not a blanket license over all files.

Packages and integrity

manifest.json records the exact upstream revisions, modification method, file sizes and SHA-256 digests. Model weights live under models/<language>/. Production clients should pin a repository commit, not the moving main branch, and verify both size and SHA-256 after download.

The Whisper packages use whisper.cpp's GGML Q8_0 format. Select the listed language explicitly and use transcription, not translation, mode. They are language-specialized fine-tunes of a multilingual architecture; conversion did not remove other languages or shrink the network. The Filipino package uses the CTC head, with dynamic INT8 MatMul/Gemm weights and sherpa-onnx metadata. Its expected input is 16 kHz mono audio.

Limitations

These packages can misrecognize names, accents, numbers, background speech and noise, or hallucinate words. Quantization and streaming adapters can change accuracy relative to publisher benchmarks. No publisher benchmark is claimed as a measurement of these converted files. Large models need device-specific memory, latency and battery testing. Norwegian Nynorsk has not been validated.

Training-data rights and deployment requirements are separate from the model weight license. Review the preserved upstream model cards for limitations. Malay, the older unlicensed Serbian Tiny checkpoint, and Mongolian remain excluded pending resolution of their licensing or provenance questions. The separately licensed Serbian Small Combined checkpoint listed above is included.

Additional packages

Parakeet is uploaded once and shared across its listed app languages. Similarly sized Whisper packages above have different publisher-trained weights; they are not renamed copies of one checkpoint. No additional fine-tuning was done by Trans. Russian GigaAM is prepared for an on-demand app download. Adding a package here does not automatically add a language to an already installed app: the current app uses a built-in catalog and pinned download revisions.

Hebrew replacement — GigaAM-He

The current Hebrew package is GigaAM Hebrew CTC INT8, adapted from asfberlin/fast-hebrew-asr, not the Russian GigaAM checkpoint. It is smaller and faster in local testing but less accurate than Ivrit Whisper. See the linked provenance for the measured accuracy tradeoff and audio-frontend compatibility limitation. It does not supply punctuation. The previous models/he/he-whisper-q8.bin and its attribution remain available for older pinned app versions; no old model was deleted.

Four additional language-specialized Whisper packages

Serbian, Khmer, Burmese and Romanian use separate, versioned Q8_0 packages. They are not newly trained by AladdinChen. Khmer and Burmese require particular accuracy validation before production use. See each package notice for provenance and limitations. Existing models and pinned URLs have not been deleted or overwritten.