# ga642381/speech-trident

Awesome speech/audio LLMs, representation learning, and codec models

Repository: https://github.com/ga642381/speech-trident
Canonical: https://ross.abutalabs.com/products/speech-trident
License Family: other
Last push: 2026-07-10T16:30:43+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 91, release rhythm 35, longevity 62
- inputs: {"age_days": 877, "days_push": 54, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1246, forks 74 (observed 2026-08-28T04:04:07.204720+00:00)

## What it is
A curated awesome-list surveying speech/audio large language models, speech representation learning, and neural codec models. It organizes research models and papers into three areas: semantic token representation learning, acoustic token codecs, and speech LLMs.

## Use cases
- find speech language model papers
- compare neural audio codec models
- learn about speech representation learning
- survey of speech LLMs
- find discrete audio token models
- research reading list for speech AI

## When to choose
- you need a curated overview of speech/audio LLM research
- you're picking a speech tokenizer or codec for a project
- you want a starting reading list for speech AI research

## When to avoid
- you need runnable software or code, not a paper list
- you need production speech recognition or TTS tools

## Facets
- artifact type: learning-resource
- maturity: active
- function: speech-recognition, audio-processing, machine-learning, documentation
- domain: speech-processing, artificial-intelligence, large-language-models, tutorials
- platform: cross-platform
- tags: awesome-list, speech-llm, neural-codec, representation-learning, survey, audio-tokens

## Member repositories
- ga642381/speech-trident (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:07.204720+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:08:03.315559+00:00, confidence not recorded.
  - readme: https://github.com/ga642381/speech-trident (fetched 2026-08-28T04:04:07.204720+00:00, sha 54547fef6a4a)
- Data as of 2026-08-30T08:39:29.467469+00:00.