Search Results for "multi-system"

whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples....

...It includes extensive tools for data preparation, feature extraction, acoustic and language modeling, decoding, and evaluation. With its modular design, Kaldi allows users to adapt the system to a wide range of languages and domains. As one of the most influential projects in speech recognition, it has become a foundation for much of the modern work in ASR.

Speech recognition system for Ubuntu which takes Palaver as codebase and integrates Pocketsphinx instead of Google speech-api. Codebase is the minimal version of Palaver.

This software records and replays user interaction with the computer. It can be interfaced through voice commands.

Augmenting other natural interfaces namely handwriting, speech recognition to input Indian language characters to the computer. Speech synthesis is also provided to read out local language text.

This project will show how to implement the Hidden Markov Model approximations of Voice Recognition into embedded and low power systems.

Developpement of speech recognition software and libraries for the linux system. Should allow evryone to integrate speech recognition in his software very easily.