v0.4.21

RealtimeTTS v0.4.21 Release Notes

🚀 New Features

• update to latest versions of dependencies (stream2sentence, coqui-tts, elevenlabs, openai, edge-tts)

StyleTTS Engine

• Added seed. Added fix for a styletts2 problem causing noise to be generated with very short texts, especially when using embedding_scale values > 1

🛠 Bug Fixes

• Fixed a problem in stream2sentence causing minimum_sentence_length to not be respected

v0.4.20 🌿

RealtimeTTS v0.4.20 Release Notes

🚀 New Features

Azure Engine

• Added support for 48 kHz audio output in the Azure TTS engine for improved audio quality (and providing more flexibility in audio formats).

StyleTTS Engine

• introduced StyleTTSVoice for dynamic voice switching to allow transitions between multiple voice models

🛠 Bug Fixes

• Fixed incorrect voice initialization when switching between models in the StyleTTS engine.
• Fixed model configuration path issues during runtime when updating voice parameters.

v0.4.19

• Added support for the StyleTTS2 engine.
• Updated Coqui-TTS to version 0.25.0, which includes a fix for issue #227
• Upgraded all dependent libraries to their latest versions

v0.4.17

• performance improvements, bugfixes and better edge_test.py for edge tts

EdgeTTSDemo.mp4

v0.4.14

fixes #223

Enhancements to Sentence Processing

• Improved buffer handling by ensuring it starts with an alphanumeric character to prevent TTS confusion caused by initial non-phonetic characters.
• Bug Fix: Resolved an issue where the word counter wasn’t reset after triggering force_first_fragment_after_words, causing processing errors.
• Increased the default force_first_fragment_after_words threshold from 15 to 30 for better fragment control.

v0.4.13

RealtimeTTS v0.4.13 Release Notes

🚀 New Features

EdgeEngine

• Introducing EdgeEngine, a free, extremely lightweight, and beginner-friendly engine.
• Designed for simplicity with no complex dependencies, making it ideal for lightweight projects or newcomers to TTS.

🛠 Bug Fixes

• Resolved ValueError: ('Sample format not supported', -9994) (#221).
• Fixed RecursionError: maximum recursion depth exceeded (#222).
• Addressed the requirement to manually install resampy after installing RealtimeTTS.

v0.4.11

• optimizations for linux
  • setting multiprocessing spawn start method fix for linux now
  • if tts engine output sample rate is not supported by the sound card the chunks get resampled now
  • mechanism to prevent potential stream buffer overflows added

v0.4.10

• new stream2sentence version 0.2.7
  • bugfix for #5 (causing a whitespace between words to get lost sometimes)
  • upgrade to latest NLTK and Stanza versions including new "punkt-tab" model
  • allow offline environment for stanza
  • adds support for async streams (preparations for async in RealtimeTTS)
• dependency upgrades to latest version (coqui tts 0.24.2 ➡️ 0.24.3, elevenlabs 1.11.0 ➡️ 1.12.1, openai 1.52.2 ➡️ 1.54.3)
• added load_balancing parameter to coqui engine
  • if you have a fast machine with a realtime factor way lower than 1, we infer way faster then we need to
  • this parameter allows you to infer with a rt factor closer to 1, so you will still have streaming voice inference BUT your GPU load goes down to the minimum that is needed to produce chunks in realtime
  • if you do LLM inference in parallel this will be faster now because TTS takes less load

v0.4.9

• added print_realtime_factor to CoquiEngine
• removed a debug message that somehow made it to pypi

v0.4.8

• added ParlerEngine. Needs flash attention, then barely runs fast enough for realtime inference on a 4090.

  Parler Installation for Windows (after installing RealtimeTTS):

  pip install git+https://github.com/huggingface/parler-tts.git
  pip install torch==2.3.1+cu121 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/cu121
  pip install https://github.com/oobabooga/flash-attention/releases/download/v2.6.3/flash_attn-2.6.3+cu122torch2.3.1cxx11abiFALSE-cp310-cp310-win_amd64.whl
  pip install "numpy<2"