--- license: mit datasets: - BharathK333/VoxMorph-Dataset language: - en base_model: - ResembleAI/chatterbox pipeline_tag: text-to-speech tags: - ICASSP - Audio-to-Audio - Zero-shot-tts - Voice-Morphing - Security papers: - https://huggingface.co/papers/2601.20883 --- # VoxMorph: Scalable Zero-shot Voice Identity Morphing via Disentangled Embeddings [![ICASSP Paper](https://img.shields.io/badge/ICASSP-Paper-blue)](https://ieeexplore.ieee.org/document/11462383) [![arXiv](https://img.shields.io/badge/arXiv-Paper-red)](https://arxiv.org/abs/2601.20883) [![Project Page](https://img.shields.io/badge/Project_Page-GitHub.io-blue)](https://vcbsl.github.io/VoxMorph/) [![Demo](https://img.shields.io/badge/Demo-HuggingFace-orange)](https://huggingface.co/spaces/BharathK333/VoxMorph) [![Dataset](https://img.shields.io/badge/Dataset-HuggingFace-yellow)](https://huggingface.co/datasets/BharathK333/VoxMorph-Dataset) [![Model](https://img.shields.io/badge/Model-HuggingFace-green )](https://huggingface.co/BharathK333/VoxMorph-Models) [![Paper HF](https://img.shields.io/badge/HuggingFace-Paper-red?logo=huggingface)](https://huggingface.co/papers/2601.20883) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) VoxMorph is a zero-shot framework that produces high-fidelity voice morphs from as little as five seconds of audio per subject without model retraining. The method disentangles vocal traits into prosody and timbre embeddings, enabling fine-grained interpolation of speaking style and identity. These embeddings are fused via Spherical Linear Interpolation (Slerp) and synthesized using an autoregressive language model coupled with a Conditional Flow Matching network. This repository hosts the official model checkpoints for **VoxMorph: Scalable Zero-shot Voice Identity Morphing via Disentangled Embeddings** (ICASSP 2026). It contains the checkpoint files (`s3gen.pt` and `t3_cfg.pt`) for VoxMorph, a zero-shot TTS framework built on top of Resemble AI's frozen Chatterbox-TTS backbone. ## Citation If you find this work useful in your research, please consider citing the ICASSP 2026 paper: ```bibtex @INPROCEEDINGS{11462383, author={Krishnamurthy, Bharath and Rattani, Ajita}, booktitle={ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title={VoxMorph: Scalable Zero-Shot Voice Identity Morphing via Disentangled Embeddings}, year={2026}, volume={}, number={}, pages={13332-13336}, keywords={Filtering;Filters;Deepfakes;Vocoders;Videos;Protocols;HTTP;Wide area networks;Communication equipment;Communication systems;Voice morphing;text-to-speech;zero-shot learning;speaker embedding;interpolation;speech synthesis}, doi={10.1109/ICASSP55912.2026.11462383} } @article{krishnamurthy2026voxmorph_arxiv, title={VoxMorph: Scalable Zero-Shot Voice Identity Morphing via Disentangled Embeddings}, author={Krishnamurthy, Bharath and Rattani, Ajita}, journal={arXiv preprint arXiv:2601.20883}, year={2026} } ```