The whisper.cpp project ports OpenAI’s Whisper speech recognition model to C and C++.
EspNet vs wav2letter
How do EspNet and wav2letter compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | EspNet | wav2letter |
|---|---|---|
| What it is | ESPnet includes tools for end to end speech processing and related speech tasks. | The wav2letter project provides an automatic speech recognition toolkit from Facebook AI Research. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both EspNet and wav2letter.
Vosk provides an offline speech recognition API for mobile devices and servers, with several programming language interfaces.
Kaldi provides an open toolkit for speech recognition and speech processing research.
NeMo Parakeet ASR Models attain strong speech recognition accuracy while being efficient for inference. Available in CTC and RNN-Transducer variants.
Superwhisper turns speech into polished text for use in apps such as Slack and Gmail, with recognition options listed for four operating systems.
EmotiVoice provides a multi-voice text-to-speech engine with prompt controls.







