This is the Linux app named ESPnet whose latest release can be downloaded as ESPnetversion202511sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
ESPnet
DESCRIPTION:
ESPnet is a comprehensive end-to-end speech processing toolkit covering a wide spectrum of tasks, including automatic speech recognition (ASR), text-to-speech (TTS), speech translation (ST), speech enhancement, speaker diarization, and spoken language understanding. It uses PyTorch as its deep learning engine and adopts a Kaldi-style data processing pipeline for features, data formats, and experimental recipes. This combination allows researchers to leverage modern neural architectures while still benefiting from the robust data preparation practices developed in the speech community. ESPnet provides many ready-to-run recipes for popular academic benchmarks, making it straightforward to reproduce published results or serve as baselines for new research. The toolkit also hosts numerous pretrained models and example configs, ranging from Transformer and Conformer architectures to various attention-based encoder-decoder models.
Features
- Unified PyTorch-based toolkit for ASR, TTS, speech translation, enhancement, diarization, and SLU
- Kaldi-style data preparation, feature extraction, and recipe structure for reproducible experiments
- Extensive collection of benchmark recipes for common datasets and tasks in the speech community
- Support for advanced architectures such as Transformers, Conformers, and attention-based encoder-decoders
- Large library of pretrained models and example configurations to accelerate research and prototyping
- Active open-source community, documentation, and auxiliary tools like ONNX export and TTS frontends
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/espnet.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.