Russell Ballestrini
7559e56d0c
- Add CHANGELOG.md with full version history (moved from README)
- Update all documentation to use lowercase 'uncloseai-speech' project name
- Update organization references to lowercase 'uncloseai' (not 'UncloseAI')
- Add Brand Identity section to docs/CLAUDE.md with naming guidelines
- Update speech.py argparse description to match branding
- Update README.md headers and sections with consistent naming
- Update all model documentation with consistent branding
Files updated:
- CHANGELOG.md (new file)
- README.md (changelog reference, server options, multilingual section)
- speech.py (--workers argument, branding in argparse)
- Makefile (header comment)
- docs/CLAUDE.md (Brand Identity section)
- docs/MODELS.md
- docs/MIRRORS.md
- docs/AUDIT.md
- docs/models/coqui-tts.md
- docs/research/tts-models-overview.md
Branding standard:
- Project: uncloseai-speech (lowercase, hyphenated)
- Organization: uncloseai (lowercase, one word)
🦝 Generated with Claude Code
127 lines
5.8 KiB
Markdown
127 lines
5.8 KiB
Markdown
# uncloseai-speech - Changelog
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## Recent Changes
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**Raccoon Mission Updates, 2025-11-09**
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* 🦝 **Production-ready multiprocess architecture** - 4 uvicorn workers for true concurrency, bypassing Python's GIL
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* 🦝 **Voice auto-detection** - `model` parameter now optional, automatically selects correct engine from voice name
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* 🦝 **Voice cache initialization fix** - All worker processes now properly initialize voice-to-model lookup cache
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* 🦝 **Args initialization fix** - Worker processes now have access to server configuration via DefaultArgs class
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* 🦝 **235/245 voices working** (95.9% hydration success rate):
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- Piper: 55/55 voices (100%)
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- XTTS: 6/8 voices (75%)
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- Silero: 142/148 voices (95.9%)
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- Kokoro: 32/34 voices (94.1%)
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* 🦝 **Extended `/v1/voices` endpoint** - Returns all available voices with engine metadata
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* 🦝 **Makefile targets** - `make hydrate` (test all voices), `make load-test` (concurrent stress test)
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* 🦝 **Comprehensive docs** - See `docs/CLAUDE.md`, `docs/MODELS.md`, `docs/MIRRORS.md`, `docs/AUDIT.md`
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Version 0.18.2, 2024-08-16
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* Fix docker building for amd64, refactor github actions again, free up more disk space
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Version 0.18.1, 2024-08-15
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* refactor github actions
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Version 0.18.0, 2024-08-15
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* Allow folders of wav samples in xtts. Samples will be combined, allowing for mixed voices and collections of small samples. Still limited to 30 seconds total. Thanks @nathanhere.
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* Fix missing yaml requirement in -min image
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* fix fr_FR-tom-medium and other 44khz piper voices (detect non-default sample rates)
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* minor updates
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Version 0.17.2, 2024-07-01
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* fix -min image (re: langdetect)
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Version 0.17.1, 2024-07-01
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* fix ROCm (add langdetect to requirements-rocm.txt)
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* Fix zh-cn for xtts
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Version 0.17.0, 2024-07-01
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* Automatic language detection, thanks [@RodolfoCastanheira](https://github.com/RodolfoCastanheira)
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Version 0.16.0, 2024-06-29
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* Multi-client safe version. Audio generation is synchronized in a single process. The estimated 'realtime' factor of XTTS on a GPU is roughly 1/3, this means that multiple streams simultaneously, or `speed` over 2, may experience audio underrun (delays or pauses in playback). This makes multiple clients possible and safe, but in practice 2 or 3 simultaneous streams is the maximum without audio underrun.
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Version 0.15.1, 2024-06-27
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* Remove deepspeed from requirements.txt, it's too complex for typical users. A more detailed deepspeed install document will be required.
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Version 0.15.0, 2024-06-26
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* Switch to [coqui-tts](https://github.com/idiap/coqui-ai-TTS) (updated fork), updated simpler dependencies, torch 2.3, etc.
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* Resolve cuda threading issues
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Version 0.14.1, 2024-06-26
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* Make deepspeed possible (`--use-deepspeed`), but not enabled in pre-built docker images (too large). Requires the cuda-toolkit installed, see the Dockerfile comment for details
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Version 0.14.0, 2024-06-26
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* Added `response_format`: `wav` and `pcm` support
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* Output streaming (while generating) for `tts-1` and `tts-1-hd`
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* Enhanced [generation parameters](#generation-parameters) for xtts models (temperature, top_p, etc.)
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* Idle unload timer (optional) - doesn't work perfectly yet
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* Improved error handling
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Version 0.13.0, 2024-06-25
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* Added [Custom fine-tuned XTTS model support](#custom-fine-tuned-model-support)
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* Initial prebuilt arm64 image support (Apple M-series, Raspberry Pi - MPS is not supported in XTTS/torch), thanks [@JakeStevenson](https://github.com/JakeStevenson), [@hchasens](https://github.com/hchasens)
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* Initial attempt at AMD GPU (ROCm 5.7) support
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* Parler-tts support removed
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* Move the *.default.yaml to the root folder
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* Run the docker as a service by default (`restart: unless-stopped`)
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* Added `audio_reader.py` for streaming text input and reading long texts
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Version 0.12.3, 2024-06-17
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* Additional logging details for BadRequests (400)
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Version 0.12.2, 2024-06-16
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* Fix :min image requirements (numpy<2?)
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Version 0.12.0, 2024-06-16
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* Improved error handling and logging
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* Restore the original alloy tts-1-hd voice by default, use alloy-alt for the old voice.
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Version 0.11.0, 2024-05-29
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* 🌐 [Multilingual](#multilingual) support (16 languages) with XTTS
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* Remove high Unicode filtering from the default `config/pre_process_map.yaml`
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* Update Docker build & app startup. thanks @justinh-rahb
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* Fix: "Plan failed with a cudnnException"
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* Remove piper cuda support
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Version: 0.10.1, 2024-05-05
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* Remove `runtime: nvidia` from docker-compose.yml, this assumes nvidia/cuda compatible runtime is available by default. thanks [@jmtatsch](https://github.com/jmtatsch)
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Version: 0.10.0, 2024-04-27
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* Pre-built & tested docker images, smaller docker images (8GB or 860MB)
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* Better upgrades: reorganize config files under `config/`, voice models under `voices/`
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* **Compatibility!** If you customized your `voice_to_speaker.yaml` or `pre_process_map.yaml` you need to move them to the `config/` folder.
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* default listen host to 0.0.0.0
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Version: 0.9.0, 2024-04-23
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* Fix bug with yaml and loading UTF-8
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* New sample text-to-speech application `say.py`
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* Smaller docker base image
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* Add beta [parler-tts](https://huggingface.co/parler-tts/parler_tts_mini_v0.1) support (you can describe very basic features of the speaker voice), See: (https://www.text-description-to-speech.com/) for some examples of how to describe voices. Voices can be defined in the `voice_to_speaker.default.yaml`. Two example [parler-tts](https://huggingface.co/parler-tts/parler_tts_mini_v0.1) voices are included in the `voice_to_speaker.default.yaml` file. `parler-tts` is experimental software and is kind of slow. The exact voice will be slightly different each generation but should be similar to the basic description.
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...
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Version: 0.7.3, 2024-03-20
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* Allow different xtts versions per voice in `voice_to_speaker.yaml`, ex. xtts_v2.0.2
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* Quality: Fix xtts sample rate (24000 vs. 22050 for piper) and pops
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