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IndexTTS-Rust/ (Complete Directory Structure) │ ├── indextts/ # Main Python package (194 files) │ │ │ ├── __init__.py # Package initialization │ ├── cli.py # Command-line interface (64 lines) │ ├── infer.py # Original inference (v1) - 690 lines │ ├── infer_v2.py # Main inference v2 - 739 lines ⭐⭐⭐ │ │ │ ├── gpt/ # GPT-based TTS model (9 files, 16,953 lines) │ │ ├── __init__.py │ │ ├── model.py # Original UnifiedVoice (713L) │ │ ├── model_v2.py # UnifiedVoice v2 ⭐⭐⭐ (747L) │ │ ├── conformer_encoder.py # Conformer encoder ⭐⭐ (520L) │ │ ├── perceiver.py # Perceiver resampler (317L) │ │ ├── conformer_encoder.py # Conformer components │ │ ├── transformers_gpt2.py # GPT2 implementation (1,878L) │ │ ├── transformers_generation_utils.py # Generation utilities (4,747L) │ │ ├── transformers_beam_search.py # Beam search (1,013L) │ │ └── transformers_modeling_utils.py # Model utilities (5,525L) │ │ │ ├── BigVGAN/ # Neural Vocoder (6+ files, ~1000+ lines) │ │ ├── __init__.py │ │ ├── models.py # BigVGAN architecture ⭐⭐⭐ │ │ ├── ECAPA_TDNN.py # Speaker encoder │ │ ├── activations.py # Snake, SnakeBeta activations │ │ ├── utils.py # Helper functions │ │ │ │ │ ├── alias_free_activation/ # CUDA kernel variants │ │ │ ├── cuda/ │ │ │ │ ├── activation1d.py # CUDA kernel loader │ │ │ │ └── load.py │ │ │ └── torch/ │ │ │ ├── act.py # PyTorch activation │ │ │ ├── filter.py # Anti-aliasing filter │ │ │ └── resample.py # Resampling │ │ │ │ │ ├── alias_free_torch/ # PyTorch-only fallback │ │ │ ├── act.py │ │ │ ├── filter.py │ │ │ └── resample.py │ │ │ │ │ └── nnet/ # Network modules │ │ ├── linear.py │ │ ├── normalization.py │ │ └── CNN.py │ │ │ ├── s2mel/ # Semantic-to-Mel Models (~500+ lines) │ │ ├── modules/ # Core modules (10+ files) │ │ │ ├── audio.py # Mel-spectrogram computation ⭐ │ │ │ ├── commons.py # Common utilities (21KB) │ │ │ ├── layers.py # NN layers (13KB) │ │ │ ├── length_regulator.py # Duration modeling │ │ │ ├── flow_matching.py # Continuous flow matching │ │ │ ├── diffusion_transformer.py # Diffusion model │ │ │ ├── rmvpe.py # Pitch extraction (22KB) │ │ │ ├── quantize.py # Quantization │ │ │ ├── encodec.py # EnCodec codec │ │ │ ├── wavenet.py # WaveNet implementation │ │ │ │ │ │ │ ├── bigvgan/ # BigVGAN vocoder │ │ │ │ ├── modules.py │ │ │ │ ├── config.json │ │ │ │ ├── bigvgan.py │ │ │ │ ├── alias_free_activation/ # Variants │ │ │ │ └── models.py │ │ │ │ │ │ │ ├── vocos/ # Vocos codec │ │ │ ├── hifigan/ # HiFiGAN vocoder │ │ │ ├── openvoice/ # OpenVoice components (11 files) │ │ │ ├── campplus/ # CAMPPlus speaker encoder │ │ │ │ └── DTDNN.py # DTDNN architecture │ │ │ └── gpt_fast/ # Fast GPT inference │ │ │ │ │ ├── dac/ # DAC codec │ │ │ ├── model/ │ │ │ ├── nn/ │ │ │ └── utils/ │ │ │ │ │ └── (other s2mel implementations) │ │ │ ├── utils/ # Text & Feature Utils (12+ files, ~500L) │ │ ├── __init__.py │ │ ├── front.py # TextNormalizer, TextTokenizer ⭐⭐⭐ (700L) │ │ ├── maskgct_utils.py # Semantic codec builders (250L) │ │ ├── arch_util.py # AttentionBlock, utilities │ │ ├── checkpoint.py # Model loading │ │ ├── xtransformers.py # Transformer utils (1,600L) │ │ ├── feature_extractors.py # MelSpectrogramFeatures │ │ ├── common.py # Common functions │ │ ├── text_utils.py # Text utilities │ │ ├── typical_sampling.py # TypicalLogitsWarper sampling │ │ ├── utils.py # General utils │ │ ├── webui_utils.py # Web UI helpers │ │ ├── tagger_cache/ # Text normalization cache │ │ │ │ │ └── maskgct/ # MaskGCT codec (100+ files, 10KB+) │ │ └── models/ │ │ ├── codec/ # Multiple codec implementations │ │ │ ├── amphion_codec/ # Amphion codec │ │ │ │ ├── codec.py │ │ │ │ ├── vocos.py │ │ │ │ └── quantize/ # Quantization │ │ │ │ ├── vector_quantize.py │ │ │ │ ├── residual_vq.py │ │ │ │ ├── factorized_vector_quantize.py │ │ │ │ └── lookup_free_quantize.py │ │ │ │ │ │ │ ├── facodec/ # FACodec variant │ │ │ │ ├── facodec_inference.py │ │ │ │ ├── modules/ │ │ │ │ │ ├── commons.py │ │ │ │ │ ├── attentions.py │ │ │ │ │ ├── layers.py │ │ │ │ │ ├── quantize.py │ │ │ │ │ ├── wavenet.py │ │ │ │ │ ├── style_encoder.py │ │ │ │ │ ├── gradient_reversal.py │ │ │ │ │ └── JDC/ (pitch detection) │ │ │ │ └── alias_free_torch/ # Anti-aliasing │ │ │ │ │ │ │ ├── speechtokenizer/ # Speech Tokenizer codec │ │ │ │ ├── model.py │ │ │ │ └── modules/ │ │ │ │ ├── seanet.py │ │ │ │ ├── lstm.py │ │ │ │ ├── norm.py │ │ │ │ ├── conv.py │ │ │ │ └── quantization/ │ │ │ │ │ │ │ ├── ns3_codec/ # NS3 codec variant │ │ │ ├── vevo/ # VEVo codec │ │ │ ├── kmeans/ # KMeans codec │ │ │ ├── melvqgan/ # MelVQ-GAN codec │ │ │ │ │ │ │ ├── codec_inference.py │ │ │ ├── codec_sampler.py │ │ │ ├── codec_trainer.py │ │ │ └── codec_dataset.py │ │ │ │ │ └── tts/ │ │ └── maskgct/ │ │ ├── maskgct_s2a.py # Semantic-to-acoustic │ │ └── ckpt/ │ │ │ └── vqvae/ # Vector Quantized VAE │ ├── xtts_dvae.py # Discrete VAE (currently disabled) │ └── (other VAE components) │ ├── examples/ # Sample Data & Test Cases │ ├── cases.jsonl # Example test cases │ ├── voice_*.wav # Sample voice prompts (12 files) │ ├── emo_*.wav # Emotion reference samples (2 files) │ └── sample_prompt.wav # Default prompt (implied) │ ├── tests/ # Test Suite │ ├── regression_test.py # Main regression tests ⭐ │ └── padding_test.py # Padding/batch tests │ ├── tools/ # Utility Scripts & i18n │ ├── download_files.py # Model downloading from HF │ └── i18n/ # Internationalization │ ├── i18n.py # Translation system │ ├── scan_i18n.py # i18n scanner │ └── locale/ │ ├── en_US.json # English translations │ └── zh_CN.json # Chinese translations │ ├── archive/ # Historical Docs │ └── README_INDEXTTS_1_5.md # IndexTTS 1.5 documentation │ ├── webui.py # Gradio Web UI ⭐⭐⭐ (18KB) ├── cli.py # Command-line interface ├── requirements.txt # Python dependencies ├── MANIFEST.in # Package manifest ├── .gitignore # Git ignore rules ├── .gitattributes # Git attributes └── LICENSE # Apache 2.0 License ═══════════════════════════════════════════════════════════════════════════════ KEY FILES BY IMPORTANCE: ═══════════════════════════════════════════════════════════════════════════════ ⭐⭐⭐ CRITICAL (Core Logic - MUST Convert First) 1. indextts/infer_v2.py - Main inference pipeline (739L) 2. indextts/gpt/model_v2.py - UnifiedVoice GPT model (747L) 3. indextts/utils/front.py - Text processing (700L) 4. indextts/BigVGAN/models.py - Vocoder (1000+L) 5. indextts/s2mel/modules/audio.py - Mel-spectrogram (83L, critical DSP) ⭐⭐ HIGH PRIORITY (Major Components) 1. indextts/gpt/conformer_encoder.py - Conformer blocks (520L) 2. indextts/gpt/perceiver.py - Perceiver attention (317L) 3. indextts/utils/maskgct_utils.py - Codec builders (250L) 4. indextts/s2mel/modules/commons.py - Common utilities (21KB) ⭐ MEDIUM PRIORITY (Utilities & Optimization) 1. indextts/utils/xtransformers.py - Transformer utils (1,600L) 2. indextts/BigVGAN/activations.py - Activation functions 3. indextts/s2mel/modules/rmvpe.py - Pitch extraction (22KB) OPTIONAL (Web UI, Tools) 1. webui.py - Gradio interface 2. tools/download_files.py - Model downloading ═══════════════════════════════════════════════════════════════════════════════ TOTAL STATISTICS: ═══════════════════════════════════════════════════════════════════════════════ Total Python Files: 194 Total Lines of Code: ~25,000+ GPT Module: 16,953 lines MaskGCT Codecs: ~10,000+ lines S2Mel Models: ~2,000+ lines BigVGAN: ~1,000+ lines Utils: ~500 lines Tests: ~100 lines Models Supported: 6 major HuggingFace models Languages: Chinese (full), English (full), Mixed Emotion Dimensions: 8-dimensional emotion control Audio Sample Rate: 22,050 Hz (primary) Max Text Tokens: 120 Max Mel Tokens: 250 Mel Spectrogram Bins: 80 |