Fast, Accurate, Flexible Open Source Speech Recognition
Sahith Dambekodi
This proposal is for the implementation of Computer-Aided Language Learning from the browser using Pocketsphinx.js. Using Twee/Twine as the question...
Yifan Xiong
This Collect Pronunciation Dictionaries from Wiktionary project aims to expand pronunciation dictionaries in CMUSphinx for new words and multiple...
Vishal Agrawal
Automatic speech recognition systems are traditionally based on Hidden Markov models(HMMs) as it had given the best results in the past. However due...
S SINGH
The project scope includes designing a web based leader board module for CMU Sphinx which would include details of top ranking people, models,...
Pavel Denisov
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...
Muhammad Shah
In the past decade Deep Neural Networks (DNNs) have been be demonstrated to excel to wide range of learning tasks, including speech recognition. More...
Hammad Abdullah
CMUsphinx is a fast and flexible open source speech recognition toolkit. Currently it uses GMM acoustic models and it gives reasonable accuracy. This...
Brij
The proposed framework will implement a user interface capable of collecting audio signal from microphone corresponding to a prompted text and...
Rishi Rajasekaran
The aim of this project is to write support code for obtaining accurate transcriptions, exemplar pronunciations, and phonetic and part-of-speech...
Mritunjay Goutam
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...
Pankaj Baranwal
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...