Pinned Repositories
child_tts_fastpitch
Fastpitch text-to-speech (TTS) model for generating high-quality synthetic child speech. This study uses the transfer learning training pipeline. The approach involved finetuning a multi-speaker TTS model to work with child speech. We use the publicly available MyST dataset (55 hours) for our finetuning experiments.
childASR_w2v2
This repository provides trained checkpoints for finetuning across different child speech datasets for improving the performance on ASR for child speech. .
ChildTTS
This repository contains synthetic TTS generated audio files for presenting our research work
whisper_child_asr
Case-studies-in-data-analytics
Case Studies in Data Analytics - Multi-Source Open Data Quality
DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Document-Scanner-App---Python-and-OpenCV
Building a Document Scanner App using Python, OpenCV, and Computer Vision
Face-recognition-in-Friends-TV-show-using-Deep-Learning
Face recognition in videos using face_recognition API, Dlib and OpenCV
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Senimental-Analysis-using-Deep-Learning-in-Python
Sentiment analysis refers to the identification/recognition of sentiment in natural language. There are many interesting and challenging issues in this domain and the problem has a range of application areas. In its most basic form, the sentiment analysis challenge has a passage of text and an associated sentiment classification (positive or negative, classically) and the goal is to learn the relationships between the text and the outcomes.
rishabhjain16's Repositories
rishabhjain16/Senimental-Analysis-using-Deep-Learning-in-Python
Sentiment analysis refers to the identification/recognition of sentiment in natural language. There are many interesting and challenging issues in this domain and the problem has a range of application areas. In its most basic form, the sentiment analysis challenge has a passage of text and an associated sentiment classification (positive or negative, classically) and the goal is to learn the relationships between the text and the outcomes.
rishabhjain16/Case-studies-in-data-analytics
Case Studies in Data Analytics - Multi-Source Open Data Quality
rishabhjain16/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
rishabhjain16/Document-Scanner-App---Python-and-OpenCV
Building a Document Scanner App using Python, OpenCV, and Computer Vision
rishabhjain16/Face-recognition-in-Friends-TV-show-using-Deep-Learning
Face recognition in videos using face_recognition API, Dlib and OpenCV
rishabhjain16/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
rishabhjain16/Handwriting-Prediction-GUI-using-MNIST-Dataset
rishabhjain16/Headpose-Detection
Bounding Box + Landmark + Headpose
rishabhjain16/katoolin
Automatically install all Kali linux tools
rishabhjain16/Machine-Learning-1
Introduction to Machine learning using sklearn library. I am using KNN and Logistic regression algorithm with 10-fold cross validation
rishabhjain16/Machine-Learning-2
KNN and Linear Regression on steal.txt dataset for exploratory analysis of data.
rishabhjain16/ML-Project-Kaggle-Competetion-Titanic-Prediction
rishabhjain16/Multispeaker-TTS
the Tensorflow version of multi-speaker TTS training with feedback constraint
rishabhjain16/Notebooks
Useful notebooks for speech experiments
rishabhjain16/playground
Play with neural networks!
rishabhjain16/Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
rishabhjain16/rishabhjain16.github.io
Portfolio Website of Rishabh Jain
rishabhjain16/tacotron2
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
rishabhjain16/ToucanTTS
Multilingual and Controllable Text-to-Speech Toolkit of the Speech and Language Technologies Group at the University of Stuttgart.
rishabhjain16/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).