1 code implementation • 14 Aug 2020 • Peter Bell, Joachim Fainberg, Ondrej Klejch, Jinyu Li, Steve Renals, Pawel Swietojanski
We present a structured overview of adaptation algorithms for neural network-based speech recognition, considering both hybrid hidden Markov model / neural network systems and end-to-end neural network systems, with a focus on speaker adaptation, domain adaptation, and accent adaptation.
1 code implementation • 23 Oct 2019 • Ondřej Klejch, Joachim Fainberg, Peter Bell, Steve Renals
Speaker adaptive training (SAT) of neural network acoustic models learns models in a way that makes them more suitable for adaptation to test conditions.
1 code implementation • 30 Sep 2019 • Joachim Fainberg, Ondřej Klejch, Erfan Loweimi, Peter Bell, Steve Renals
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.
no code implementations • 27 Jun 2019 • Ondrej Klejch, Joachim Fainberg, Peter Bell, Steve Renals
Acoustic model adaptation to unseen test recordings aims to reduce the mismatch between training and testing conditions.
no code implementations • 30 May 2019 • Joachim Fainberg, Ondřej Klejch, Steve Renals, Peter Bell
This text data can be used for lightly supervised training, in which text matching the audio is selected using an existing speech recognition model.
1 code implementation • 18 Sep 2018 • Joachim Fainberg, Ben Krause, Mihai Dobre, Marco Damonte, Emmanuel Kahembwe, Daniel Duma, Bonnie Webber, Federico Fancellu
Conversational agents are gaining popularity with the increasing ubiquity of smart devices.
1 code implementation • 30 Aug 2018 • Ondřej Klejch, Joachim Fainberg, Peter Bell
The performance of automatic speech recognition systems can be improved by adapting an acoustic model to compensate for the mismatch between training and testing conditions, for example by adapting to unseen speakers.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 28 Sep 2017 • Ben Krause, Marco Damonte, Mihai Dobre, Daniel Duma, Joachim Fainberg, Federico Fancellu, Emmanuel Kahembwe, Jianpeng Cheng, Bonnie Webber
We present Edina, the University of Edinburgh's social bot for the Amazon Alexa Prize competition.