
IMS Toucan
IMS Toucan is a neural text-to-speech toolkit for training, evaluating, and deploying multilingual, multispeaker speech synthesis models using PyTorch.
IMS Toucan is an open-source toolkit for neural text-to-speech (TTS) research and experimentation, developed by the Institute for Natural Language Processing (IMS) at the University of Stuttgart. It provides a modular framework for building, training, and evaluating modern TTS systems, with a particular focus on controllable and expressive speech synthesis. The toolkit supports multi-speaker and cross-lingual synthesis, enabling users to generate speech in different voices and languages from a unified architecture.
IMS Toucan includes implementations of state-of-the-art components for acoustic modeling and vocoding, along with utilities for data preprocessing, feature extraction, and training pipeline management. It offers configuration-driven experiments, making it easier to reproduce results, compare model variants, and tune hyperparameters. The repository also contains example models, pretrained checkpoints, and scripts for inference, allowing users to quickly test the system on their own text or adapt it to new datasets.
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