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07/07/2023
Quantifying the perceptual value of lexical and non-lexical channels in speech
Speech is a fundamental means of communication that can be seen to provi...
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05/29/2023
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition
Explainable AI (XAI) techniques have been widely used to help explain an...
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05/25/2023
Transfer Learning for Personality Perception via Speech Emotion Recognition
Holistic perception of affective attributes is an important human percep...
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05/25/2023
ASR and Emotional Speech: A Word-Level Investigation of the Mutual Impact of Speech and Emotion Recognition
In Speech Emotion Recognition (SER), textual data is often used alongsid...
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05/23/2023
Cross-Attention is Not Enough: Incongruity-Aware Hierarchical Multimodal Sentiment Analysis and Emotion Recognition
Fusing multiple modalities for affective computing tasks has proven effe...
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03/31/2023
The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR
English is the most widely spoken language in the world, used daily by m...
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02/27/2023
Explanations for Automatic Speech Recognition
We address quality assessment for neural network based ASR by providing ...
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11/29/2022
Evaluating and reducing the distance between synthetic and real speech distributions
While modern Text-to-Speech (TTS) systems can produce speech rated highl...
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11/09/2022
Multimodal Dyadic Impression Recognition via Listener Adaptive Cross-Domain Fusion
As a sub-branch of affective computing, impression recognition, e.g., pe...
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10/05/2022
Exploration of A Self-Supervised Speech Model: A Study on Emotional Corpora
Self-supervised speech models have grown fast during the past few years ...
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12/15/2021
Mask-combine Decoding and Classification Approach for Punctuation Prediction with real-time Inference Constraints
In this work, we unify several existing decoding strategies for punctuat...
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11/12/2021
Deciphering Speech: a Zero-Resource Approach to Cross-Lingual Transfer in ASR
We present a method for cross-lingual training an ASR system using absol...
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10/29/2021
Fusing ASR Outputs in Joint Training for Speech Emotion Recognition
Alongside acoustic information, linguistic features based on speech tran...
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05/01/2021
It's not what you said, it's how you said it: discriminative perception of speech as a multichannel communication system
People convey information extremely effectively through spoken interacti...
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04/16/2021
Segmenting Subtitles for Correcting ASR Segmentation Errors
Typical ASR systems segment the input audio into utterances using purely...
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02/09/2021
Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers
Although the lower layers of a deep neural network learn features which ...
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11/08/2020
On the Usefulness of Self-Attention for Automatic Speech Recognition with Transformers
Self-attention models such as Transformers, which can capture temporal r...
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11/08/2020
Stochastic Attention Head Removal: A Simple and Effective Method for Improving Automatic Speech Recognition with Transformers
Recently, Transformers have shown competitive automatic speech recogniti...
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10/27/2020
Leveraging speaker attribute information using multi task learning for speaker verification and diarization
Deep speaker embeddings have become the leading method for encoding spea...
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10/19/2020
Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines
In this work, we focus on improving ASR output segmentation in the conte...
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08/14/2020
Adaptation Algorithms for Speech Recognition: An Overview
We present a structured overview of adaptation algorithms for neural net...
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05/28/2020
When Can Self-Attention Be Replaced by Feed Forward Layers?
Recently, self-attention models such as Transformers have given competit...
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02/02/2020
DropClass and DropAdapt: Dropping classes for deep speaker representation learning
Many recent works on deep speaker embeddings train their feature extract...
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10/31/2019
Multi-scale Octave Convolutions for Robust Speech Recognition
We propose a multi-scale octave convolution layer to learn robust speech...
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10/25/2019
Channel adversarial training for speaker verification and diarization
Previous work has encouraged domain-invariance in deep speaker embedding...
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10/23/2019
Speaker Adaptive Training using Model Agnostic Meta-Learning
Speaker adaptive training (SAT) of neural network acoustic models learns...
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09/30/2019
Acoustic Model Adaptation from Raw Waveforms with SincNet
Raw waveform acoustic modelling has recently gained interest due to neur...
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09/30/2019
Embeddings for DNN speaker adaptive training
In this work, we investigate the use of embeddings for speaker-adaptive ...
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06/27/2019
Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models
Acoustic model adaptation to unseen test recordings aims to reduce the m...
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05/30/2019
Lattice-based lightly-supervised acoustic model training
In the broadcast domain there is an abundance of related text data and p...
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11/12/2018
Analyzing deep CNN-based utterance embeddings for acoustic model adaptation
We explore why deep convolutional neural networks (CNNs) with small two-...
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11/08/2018
Few-shot learning with attention-based sequence-to-sequence models
End-to-end approaches have recently become popular as a means of simplif...
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08/30/2018
Learning to adapt: a meta-learning approach for speaker adaptation
The performance of automatic speech recognition systems can be improved ...
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09/21/2017
WERd: Using Social Text Spelling Variants for Evaluating Dialectal Speech Recognition
We study the problem of evaluating automatic speech recognition (ASR) sy...
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09/23/2015