A PyTorch-based Speech Toolkit

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

Some simple wrappers around kaldi-asr intended to make using kaldi's (online) decoders as convenient as possible.

Python wrapper for Kaldi decoders (Kaldi https://sourceforge.net/projects/kaldi/)

Longsword Stance RESTful Service Working demo: https://www.youtube.com/watch?v=v7hvOyPQ0EM Longsword Stance RESTful Service: Invokes prediction results with real-time multivariate time series data.…

Longsword Stance Model Training Working demo: https://www.youtube.com/watch?v=v7hvOyPQ0EM Longsword Stance Model Training: Deep Learning model & training python scripts. The model is genenerated wi…

A Python 2.7 implementation of Mel Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) algorithms for Automated Speech Recognition (ASR).

Scripts/Tools used for working with automatic speech recognition.

Python implementation of pre-processing for End-to-End speech recognition

Automatic Speech Recognition using Tensorflow

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

A Simple Automatic Speech Recognition (ASR) Model in Tensorflow, which only needs to focus on Deep Neural Network. It's easy to test popular cells (most are LSTM and its variants) and models (unidi…

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

The Deep Learning exercises provided in DataCamp

RNN

​ Determining​ ​ semantic​ ​ equivalence​ ​ between​ ​ pairs​ ​ of​ ​ questions​ ​ using​ ​ Deep Learning​ ​ (Siamese​ ​ Bidirectional​ ​ Lstm)​ ​ on​ ​ a ​ ​ dataset​ ​ released​ ​ by​ ​ Quora

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Emotion classification from audio files using a bidirectional LSTM model implemented in PyTorch

Python program to convert a Tensorflow bidirectional LSTM + CTC loss layer to a CoreML model.

Trains a bidirectional dynamic LSTM to classify primary protein sequences by their GO molecular function.

Code and resources for training Bidirectional LSTM model, to supoort correct and sound writing for ESL learners

Some simple tests for different bidirectional LSTM-layer shortcuts among convolutional layers in MNIST classification problem.

Bidirectional LSTM in TensorFlow for Kaggle Text Classification Competition

Only in native python & numpy

a simple script of python which applying Bidirectional Long Short Term Memory and Mixture Density Network to predict sin function.

Clinical Concept Classification using Bidirectional LSTM and word embeddings

Bidirectional RNN [GRU + LSTM] for language identification using SSC

Master Project for Highlights Prediction with Attentive Bidirectional LSTM