recanace

Classification-and-Vector-Spaces-in-NLP

Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio. During this project I design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text Classification and Vector Spaces in NLP This is the first course of the Natural Language Processing Specialization. 1: Logistic Regression for Sentiment Analysis of Tweets Use a simple method to classify positive or negative sentiment in tweets 2: Naïve Bayes for Sentiment Analysis of Tweets Use a more advanced model for sentiment analysis 3: Vector Space Models Use vector space models to discover relationships between words and use principal component analysis (PCA) to reduce the dimensionality of the vector space and visualize those relationships 4: Word Embeddings and Locality Sensitive Hashing for Machine Translation Write a simple English-to-French translation algorithm using pre-computed word embeddings and locality sensitive hashing to relate words via approximate k-nearest neighbors search

covarep

A Cooperative Voice Analysis Repository for Speech Technologies

effective-robot

EMA_ag500_method_compare

Electromagnetic Articulography (EMA) scripts for comparisons between TAPAD and CALPOS method with AG500 mcal data

espeak-ng

eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.

g2p-seq2seq

G2P with Tensorflow

g2p_seq2seq_pytorch

Grapheme to phoneme model for PyTorch

L2-Prosody-Analysis

This is Miroo Lee's project repo for Data Science (LING 2340). The goal of this project is to investigate how prosody develops in L2 learners' speech by examining temporal modifications of phonetic segments near pauses.

Language-Entropy

Information theory - Shannon entropy for language

languageEntropy

Use this package to compute language entropy from language history data.

recanace/Classification-and-Vector-Spaces-in-NLP

Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio. During this project I design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text Classification and Vector Spaces in NLP This is the first course of the Natural Language Processing Specialization. 1: Logistic Regression for Sentiment Analysis of Tweets Use a simple method to classify positive or negative sentiment in tweets 2: Naïve Bayes for Sentiment Analysis of Tweets Use a more advanced model for sentiment analysis 3: Vector Space Models Use vector space models to discover relationships between words and use principal component analysis (PCA) to reduce the dimensionality of the vector space and visualize those relationships 4: Word Embeddings and Locality Sensitive Hashing for Machine Translation Write a simple English-to-French translation algorithm using pre-computed word embeddings and locality sensitive hashing to relate words via approximate k-nearest neighbors search

recanace/covarep

A Cooperative Voice Analysis Repository for Speech Technologies

recanace/effective-robot

recanace/EMA_ag500_method_compare

Electromagnetic Articulography (EMA) scripts for comparisons between TAPAD and CALPOS method with AG500 mcal data

recanace/espeak-ng

eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.

recanace/g2p-seq2seq

G2P with Tensorflow

recanace/g2p_seq2seq_pytorch

Grapheme to phoneme model for PyTorch

recanace/L2-Prosody-Analysis

This is Miroo Lee's project repo for Data Science (LING 2340). The goal of this project is to investigate how prosody develops in L2 learners' speech by examining temporal modifications of phonetic segments near pauses.

recanace/Language-Entropy

Information theory - Shannon entropy for language

recanace/languageEntropy

Use this package to compute language entropy from language history data.

recanace/Montreal-Forced-Aligner

Command line utility for forced alignment using Kaldi

recanace/MorphyNet

MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology (+morpheme segmentation)

recanace/prosodic-analysis

Tool to analyze an audio corpora in terms of intonation, intensity, duration and voice quality

recanace/Prosodylab-Aligner

Python interface for forced audio alignment using HTK and SoX

recanace/rapid_prosody_transcription_analysis

Analysis of rapid prosody transcription experiment with Stefan Baumman

recanace/recanace.github.io

recanace/superassp

A wrassp super-package that re-exports all the functionality of wrassp, and adds the ability to get Praat and MATLAB signals into SSFF format.

recanace/warbleR

streamline acoustic analysis in R