CMU Sphinx

This proposal is for the implementation of Computer-Aided Language Learning from the browser using Pocketsphinx.js. Using Twee/Twine as the question...

This Collect Pronunciation Dictionaries from Wiktionary project aims to expand pronunciation dictionaries in CMUSphinx for new words and multiple...

Automatic speech recognition systems are traditionally based on Hidden Markov models(HMMs) as it had given the best results in the past. However due...

The project scope includes designing a web based leader board module for CMU Sphinx which would include details of top ranking people, models,...

The goal of this project is to extend PocketSphinx so that it can calculate and provide alignments and acoustic scores for diphones similarly to how...

In the past decade Deep Neural Networks (DNNs) have been be demonstrated to excel to wide range of learning tasks, including speech recognition. More...

CMUsphinx is a fast and flexible open source speech recognition toolkit. Currently it uses GMM acoustic models and it gives reasonable accuracy. This...

The proposed framework will implement a user interface capable of collecting audio signal from microphone corresponding to a prompted text and...

The aim of this project is to write support code for obtaining accurate transcriptions, exemplar pronunciations, and phonetic and part-of-speech...

As mention in the title, it is a 3D animation model of the motor control of speech production. Our long range goal is to implement the model...

ROS has support for pocketsphinx, but it is very initial stage. So, this project aims to update the ROS package for pocketsphinx with a full-scale...