Acoustic Modelling

7 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

End-to-End Attention-based Large Vocabulary Speech Recognition

rizar/attention-lvcsr 18 Aug 2015

Many of the current state-of-the-art Large Vocabulary Continuous Speech Recognition Systems (LVCSR) are hybrids of neural networks and Hidden Markov Models (HMMs).


MTG/WGANSing Interspeech 2019

We present a deep neural network based singing voice synthesizer, inspired by the Deep Convolutions Generative Adversarial Networks (DCGAN) architecture and optimized using the Wasserstein-GAN algorithm.

GIBBONFINDR: An R package for the detection and classification of acoustic signals

DenaJGibbon/gibbonR-package 6 Jun 2019

The recent improvements in recording technology, data storage and battery life have led to an increased interest in the use of passive acoustic monitoring for a variety of research questions.

Acoustic Model Adaptation from Raw Waveforms with SincNet

jfainberg/sincnet_adapt 30 Sep 2019

Raw waveform acoustic modelling has recently gained interest due to neural networks' ability to learn feature extraction, and the potential for finding better representations for a given scenario than hand-crafted features.

Multilingual Bottleneck Features for Improving ASR Performance of Code-Switched Speech in Under-Resourced Languages

ewaldvdw/kaldi 31 Oct 2020

In this work, we explore the benefits of using multilingual bottleneck features (mBNF) in acoustic modelling for the automatic speech recognition of code-switched (CS) speech in African languages.