Kana & Mari's SoundRepos (English)

tugstugi/pytorch-dc-tts

This repository provides a PyTorch implementation of a convolutional text-to-speech system based on the paper "Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention." It supports dataset downloading and audio preprocessing, training separate Text2Mel and SSRN spectrogram models, guided attention, checkpointing, TensorBoard logging, and speech synthesis for English LJ Speech and Mongolian Bible datasets.

nobodywho-ooo/nobodywho

NobodyWho is a Rust-based, on-device inference engine for running GGUF-format large language models locally and offline. It provides streaming chat, conversation and context management, grammar-based tool calling, embeddings, reranking, multimodal input, text-to-speech and speech-to-text, with bindings for Kotlin, Swift, Python, Flutter, React Native and Godot. Inference is powered by llama.cpp with Vulkan and Metal GPU acceleration.

Saganaki22/ComfyUI-VoxCPM2

ComfyUI-VoxCPM2 is a Python custom-node extension that integrates the VoxCPM2 tokenizer-free, diffusion autoregressive text-to-speech model into ComfyUI. It provides multilingual 48 kHz text-to-speech, voice design, controllable and transcript-based voice cloning, LoRA checkpoint loading, optional ASR transcription and denoising, model/VRAM management, and native LoRA training nodes.

OpenBMB/UltraEval-Audio

UltraEval-Audio is an open-source unified evaluation framework for audio foundation models, covering both speech understanding and speech generation. It aggregates many benchmarks across speech, sound, medicine, and music, and provides benchmark management, built-in metrics, replication docs for popular models, and support for custom datasets and isolated runtime inference.

ServiceNow/eva

EVA is an open-source end-to-end framework for evaluating conversational voice agents across complete multi-turn spoken interactions. It measures both task accuracy (EVA-A) and conversation experience (EVA-X), using automated bot-to-bot audio simulations, validation, and metric scoring for cascade and audio-native systems.