EmotiVoice provides a multi-voice text-to-speech engine with prompt controls.
Open source
24 alternativesEspNet
ESPnet includes tools for end to end speech processing and related speech tasks.
About EspNet
EspNet is an open-source, PyTorch-based toolkit for end-to-end speech processing. It covers speech recognition, text-to-speech, speech translation, speech enhancement, speaker diarization, spoken language understanding, singing voice synthesis, and speech language models, using Kaldi-style reproducible recipes that run from data preparation through evaluation. Pretrained models are published on Hugging Face, and a command-line interface can transcribe, phonemize, align, or synthesize without writing code.
Installing the base package runs pretrained models; training them requires the espnet[train] extra, and PyTorch must be installed separately first. ESPnet1 is no longer supported, and test coverage across operating systems and PyTorch versions is not uniform.
Key features
- Command-line inference: espnet transcribe analyzes an audio file and detects language
- Tasks include recognition, text-to-speech, translation, enhancement, diarization and language modeling
- Kaldi-style reproducible recipes from data preparation through evaluation
- Pretrained models published on Hugging Face
- Training extras via espnet[train]: Lightning, TensorBoard, W&B, Dask
- Docker images for CPU and GPU inference with a published model
Best for: Researchers and developers building or evaluating speech processing systems in PyTorch who want reproducible recipes and pretrained models.
Good for
- Open source and covers a broad set of speech tasks in one toolkit
- Reproducible Kaldi-style recipes and hundreds of pretrained models
- Pretrained-model inference can be run from the command line after a single pip install
Watch out for
- ESPnet1 is no longer supported, so older code must move to ESPnet2 or ESPnet3
- Training requires the espnet[train] extra rather than the base install
- Test coverage is not uniform across the listed systems and PyTorch versions
EspNet at a glance
- Website
- github.com/espnet/espnet
- Category
- AI & Machine Learning › AI Voice & Audio
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
EspNet alternatives
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EspNet FAQ
Do I need to train my own model to use EspNet?
No. Installing espnet alone lets you run pretrained models; the espnet[train] extra is needed only if you also want to train them.
Which EspNet version should new projects use?
ESPnet1 is no longer supported. The current options are ESPnet2 (egs2/) and ESPnet3 (egs3/).
Which operating systems and PyTorch versions are tested?
Continuous integration covers Ubuntu, Debian 12, Windows and macOS with Python 3.12 or 3.13 and PyTorch 2.11-2.14, though some suites run on only one PyTorch version and pull requests run less than master.
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