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CD20200004 from 01/01/2021 to 01/01/2022 - Python Notebook and Models for the MT Lab @ ALPS 2022
Package containing the tools necessary for decomposing a speech signal into its modulated components (also known as AM-FM decomposition). Includes the algorithms of the QHM family and the YAAPT pitch tracker.
Python module for evaluating ASR hypotheses (e.g. word error rate, word recognition rate).
Data manipulation and transformation for audio signal processing, powered by PyTorch
Code for paper titled "Using generative modelling to produce varied intonation for speech synthesis" submitted to the Speech Synthesis Workshop
π Text-Prompted Generative Audio Model
SOTA punctation restoration (for e.g. automatic speech recognition) deep learning model based on BERT pre-trained model
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels
πΈπ¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Deep Learning Examples
Machine Learning with Python (url: https://courses.edx.org/courses/course-v1:MITx+6.86x+1T2020/course/)
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Helsinki Prosody Corpus and A System for Predicting Prosodic Prominence from Text
Code relating to paper submitted for review at INTERSPEECH 2018
kaldi-asr/kaldi is the official location of the Kaldi project.
MBROLA is a speech synthesizer based on the concatenation of diphones
Python code written for MIT's Machine Learning course offered on edX
Project work done as part of the MITx course on Machine Learning with Python
Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
An in-depth exploration to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects.
Command line utility for forced alignment using Kaldi
Toolkit for defining and training Text-to-Speech voices in PyTorch
NeMo: a toolkit for conversational AI
The Munich Open-Source Large-Scale Multimedia Feature Extractor
Praat in Python, the Pythonic way
Praat: Doing Phonetics By Computer
Implementation of the YAAPT (Yet Another Algorithm for Pitch Tracking), an algorithm that determines the fundamental frequency of noisy signals (speech signals, for example).
A python wrapper for REAPER
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.