[PDF][PDF] Performance evaluation of deep neural networks applied to speech recognition: RNN, LSTM and GRU
A Shewalkar, D Nyavanandi, SA Ludwig - Journal of Artificial …, 2019 - sciendo.com
Abstract Deep Neural Networks (DNN) are nothing but neural networks with many hidden
layers. DNNs are becoming popular in automatic speech recognition tasks which combines …
layers. DNNs are becoming popular in automatic speech recognition tasks which combines …
Exploring neural transducers for end-to-end speech recognition
In this work, we perform an empirical comparison among the CTC, RNN-Transducer, and
attention-based Seq2Seq models for end-to-end speech recognition. We show that, without …
attention-based Seq2Seq models for end-to-end speech recognition. We show that, without …
Deep learning based chatbot models
R Csaky - arXiv preprint arXiv:1908.08835, 2019 - arxiv.org
A conversational agent (chatbot) is a piece of software that is able to communicate with
humans using natural language. Modeling conversation is an important task in natural …
humans using natural language. Modeling conversation is an important task in natural …
Comparison of rnn, lstm and gru on speech recognition data
AN Shewalkar - 2018 - library.ndsu.edu
Deep Learning [DL] provides an efficient way to train Deep Neural Networks [DNN]. DDNs
when used for end-to-end Automatic Speech Recognition [ASR] tasks, could produce more …
when used for end-to-end Automatic Speech Recognition [ASR] tasks, could produce more …
Alignment knowledge distillation for online streaming attention-based speech recognition
H Inaguma, T Kawahara - IEEE/ACM Transactions on Audio …, 2021 - ieeexplore.ieee.org
This article describes an efficient training method for online streaming attention-based
encoder-decoder (AED) automatic speech recognition (ASR) systems. AED models have …
encoder-decoder (AED) automatic speech recognition (ASR) systems. AED models have …
A deep learning approach for text-independent speaker recognition with short utterances
R Chakroun, M Frikha - Multimedia Tools and Applications, 2023 - Springer
Recently, the speaker recognition techniques have been widely attractive for their extensive
use in many fields, such as speech communications, domestic services, security and access …
use in many fields, such as speech communications, domestic services, security and access …
[PDF][PDF] Comparing the robustness of deep learning and classical automated scoring approaches to gaming strategies
S Lottridge, B Godek, A Jafari, M Patel - 2021 - files.portal.cambiumast.com
The state of the art in machine-learning scoring has evolved in recent years to achieve gains
in accuracy in a number of predictive tasks. Older models used feature-based approaches …
in accuracy in a number of predictive tasks. Older models used feature-based approaches …
IntelliBot: A Domain-specific Chatbot for the Insurance Industry
M Nuruzzaman - 2020 - unsworks.unsw.edu.au
IntelliBot : A Domain-specific Chatbot for the Insurance Industry Page 1 IntelliBot : A Domain-specific
Chatbot for the Insurance Industry Author: Nuruzzaman, Mohammad Publication Date: 2020 …
Chatbot for the Insurance Industry Author: Nuruzzaman, Mohammad Publication Date: 2020 …