# zzw922cn/awesome-speech-recognition-speech-synthesis-papers

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Repository: https://github.com/zzw922cn/awesome-speech-recognition-speech-synthesis-papers
Canonical: https://ross.abutalabs.com/products/awesome-speech-recognition-speech-synthesis-papers
License: MIT
License Family: permissive
Topics: automatic-speech-recognition, papers, roadmap, rnn, cnn, dnn, attention-mechanism, seq2seq, acoustic-model, timit-dataset, tts, language-model, speaker-verification, speech-recognition, speech-synthesis, neural-network, recognition-synthesis, diffusion-models, singing-voice-synthesis, voice-conversion
Last push: 2023-10-19T03:52:13+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3414, "days_push": 1049, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3130, forks 514 (observed 2026-08-28T04:07:45.469355+00:00)

## What it is
A curated awesome-list of research papers on speech recognition, speech synthesis, speaker verification, voice conversion, and language modelling, spanning classic HMM work to modern diffusion-based audio generation. It serves as a reading roadmap rather than runnable software.

## Use cases
- find papers on automatic speech recognition
- learn about text-to-speech research history
- get a roadmap for studying speech synthesis
- find voice conversion and speaker verification papers
- discover text-to-audio and music generation papers
- survey deep learning approaches to speech

## When to choose
- you need a curated paper list covering ASR and TTS from the 1980s to today
- you are a researcher or student building a reading plan for speech processing
- you want references spanning classic HMM methods to diffusion models

## When to avoid
- you need runnable speech recognition or TTS code
- you want a maintained library or tool rather than a paper index
- you need tutorials with code examples instead of paper links

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: speech-recognition, tts, nlp, audio-processing, documentation
- domain: speech-processing, tutorials, artificial-intelligence
- platform: cross-platform
- tags: awesome-list, papers, asr, voice-conversion, speaker-verification, singing-voice-synthesis, deep-learning, audio

## Member repositories
- zzw922cn/awesome-speech-recognition-speech-synthesis-papers (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:45.469355+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 2026-08-30T07:26:17.175112+00:00, confidence not recorded.
  - readme: https://github.com/zzw922cn/awesome-speech-recognition-speech-synthesis-papers (fetched 2026-08-28T04:07:45.469355+00:00, sha d22c2e53af12)
- Data as of 2026-08-30T08:39:29.467469+00:00.