Changelog

Added configurable emphasis gain scaling with numeric dB resolution and a bounded emphasis_gain_scale setting

Added a spoken-form showcase for raw structured text through the PyKokoro pipeline

Added configurable SSMD emphasis gain scaling for gain-only automatic emphasis approximation

Changed the kokorog2p minimum to 0.8.0 and enabled source-aware Spokenform preparation

Documented automatic kokorog2p spoken-form preparation separately from explicit SSMD say-as overrides

German synthesis defaults to the verified Martin v1.2 fp32 profile with automatic language-aware model and voice resolution

GitHub v1.0 model assets use the embedded vocabulary and no longer require a HuggingFace config download

Fixed managed HuggingFace voice loading to retain the canonical archive file path instead of the containing directory

Added paragraph-unit preparation and streaming for bounded, resumable document rendering

Added tri-state spaCy model policy with automatic local model discovery and with_spacy_model() helper

Changed documentation to pipeline-first API and archived legacy examples

Fixed SSMD pause precedence for explicit zero durations and voice-change boundaries

Added compact AudioResult retention controls and explicit audio-release methods

Added configurable AudioSig WSOLA, ESOLA, TD-PSOLA, and phase-vocoder prosody backends with a strict comparison harness

Changed pipeline result finalization to preserve markers while releasing optional segment audio

Changed Kokoro teardown to release dependent backend resources deterministically and idempotently

Changed combined speech prosody processing to one AudioSig compositor pass with WSOLA as the default and configured fallback behavior

Documented compact result memory behavior, ownership, release semantics, and the limits of non-streaming generation

Documented prosody backend constraints, experimental status, comparison workflow, and segment-level speech-quality limitations

Changed SSMD emphasis to metadata-preserving by default with opt-in audio approximation

Added explicit SSMD emphasis policies and diagnostics for plain, approximate, warning, and error handling

Fixed the tokenizer configuration example in the basic usage documentation

Improved user documentation examples and installation guidance across the supported workflows

Added default-safe SSMD 0.8 front-matter parsing with title and document metadata

Added portable provider voice bindings, deterministic pause-default precedence, marker offsets, resolver-based audio annotations, and explicit capability diagnostics

Raised the SSMD dependency window to >=0.8.0,<0.9 and documented literal-header migration

Added capability-driven ONNX execution-provider resolution for runtime-reported providers including NNAPI and XNNPACK

Added source-, variant-, and quality-aware model asset inspection APIs

Fixed Kokoro downloads and status checks to use exact model, config, and voice archive paths

Documented Android/Termux provider selection and dependency-light asset inspection

Added phrase-based short-sentence handling with energy-valley cutting for improved annunciation of short phrases

Added SHA256 verification, pinned HF revisions with offline mode, and stale download lock recovery

Changed SSMD syntax to [text]{key=”value”} annotation format, replacing legacy shorthand notations

Changed HuggingFace v1.0 ONNX repository to use timestamped model variant

Fixed Windows download cache path handling for model and voice files

Fixed voice name in English example script

Changed documentation format from reStructuredText to Markdown for improved readability and GitHub rendering

Added better support for spaCy models across all languages

Added automatic pause mode that adds pauses after sentences

Changed documentation with updated usage examples

Added German language support with ONNX model files

Added threading support for concurrent audio generation

Fixed Windows cache path handling and default backend selection

Fixed unit tests and mypy type errors

Added integrated splitter into doc parsers, removing separate splitter pipeline

Added automatic language detection based on voice selection

Added improved SSMD parsing with better span handling

Changed pipeline lifecycle and audio generator for better stability

Fixed paragraph splitting, pause parsing, and voice downloading

Added model_path and voices_path settings in pipeline

Fixed missing espeak and soundfile dependencies

Removed deprecated _phoneme_dictionary

Added new pipeline architecture with improved phoneme handling

Added improved PhonemeSegment with better prosody support

Added improved pipeline architecture with multiple fixes

Changed pipeline to drop legacy tokenizer in favor of new architecture

Changed all examples to use new pipeline format

Fixed phrasplit splitter and kokorog2p issues

Added audio transcript support for better unit testing and debugging

Changed SSMD parser to adapt to new phoneme syntax in kokorog2p

Fixed SSMD parser and detection logic

Added GenerationConfig dataclass to simplify TTS API

Added heading support from SSMD markup

Added configurable short sentence handler with multiple strategies

Fixed SSMD phoneme override bug in segment merging

Fixed short sentence handling and unit tests

Added SSMD syntax support with voice switching and prosody control

Added says-as implementation for cardinal, ordinal, and telephone numbers

Added optimal phoneme length calculation

Changed tokenizer and improved backend stability

Added model and voice download with manager classes for better code organization

Added configurable pause times for clause, sentence, and paragraph boundaries

Added session parameter configuration and pause variance support

Added HuggingFace Kokoro v1.1-zh model support

Added automatic splitting when max token limit is reached