This repository contains the implementation of a machine translation model using Encoder-Decoder architecture with Long Short-Term Memory (LSTM) cells. The model is designed to translate text from one ...

In the above section, we have discussed how the encoder-decoder model works well with the sequential information and how the time series is sequential data. This section of the article will be a ...

Bone-conducted (BC) speech can be used to communicate in a very high noise environment. In this paper, a method of improving the quality of BC speech is presented. The speech signal of a speaker is ...

Natural Language Processing has many interesting applications and Sequence to Sequence modelling is one of those interesting applications. It has major applications in question-answering systems and ...

Previously encoder-decoder models were used for machine translation. The encoder-decoder model contains two networks encoder and decoder. The encoder model encodes the input sequence into a vector.

This repository contains the implementation of a machine translation model using Encoder-Decoder architecture with Long Short-Term Memory (LSTM) cells. The model is designed to translate text from one ...