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07/27/2023
The Effect of Spoken Language on Speech Enhancement using Self-Supervised Speech Representation Loss Functions
Recent work in the field of speech enhancement (SE) has involved the use...
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07/25/2023
Non Intrusive Intelligibility Predictor for Hearing Impaired Individuals using Self Supervised Speech Representations
Self-supervised speech representations (SSSRs) have been successfully ap...
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06/30/2023
Empirical Interpretation of the Relationship Between Speech Acoustic Context and Emotion Recognition
Speech emotion recognition (SER) is vital for obtaining emotional intell...
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06/14/2023
Learning Cross-lingual Mappings for Data Augmentation to Improve Low-Resource Speech Recognition
Exploiting cross-lingual resources is an effective way to compensate for...
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04/14/2023
On Data Sampling Strategies for Training Neural Network Speech Separation Models
Speech separation remains an important area of multi-speaker signal proc...
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03/01/2023
Towards domain generalisation in ASR with elitist sampling and ensemble knowledge distillation
Knowledge distillation has widely been used for model compression and do...
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01/11/2023
Perceive and predict: self-supervised speech representation based loss functions for speech enhancement
Recent work in the domain of speech enhancement has explored the use of ...
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11/03/2022
Dynamic Kernels and Channel Attention with Multi-Layer Embedding Aggregation for Speaker Verification
State-of-the-art speaker verification frameworks have typically focused ...
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11/03/2022
Probing Statistical Representations For End-To-End ASR
End-to-End automatic speech recognition (ASR) models aim to learn a gene...
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10/27/2022
Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation
Speech separation models are used for isolating individual speakers in m...
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07/25/2022
Unsupervised data selection for Speech Recognition with contrastive loss ratios
This paper proposes an unsupervised data selection method by using a sub...
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07/07/2022
Non-Linear Pairwise Language Mappings for Low-Resource Multilingual Acoustic Model Fusion
Multilingual speech recognition has drawn significant attention as an ef...
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07/07/2022
Investigating the Impact of Cross-lingual Acoustic-Phonetic Similarities on Multilingual Speech Recognition
Multilingual automatic speech recognition (ASR) systems mostly benefit l...
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07/05/2022
A cross-corpus study on speech emotion recognition
For speech emotion datasets, it has been difficult to acquire large quan...
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05/19/2022
Insights on Neural Representations for End-to-End Speech Recognition
End-to-end automatic speech recognition (ASR) models aim to learn a gene...
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05/17/2022
Utterance Weighted Multi-Dilation Temporal Convolutional Networks for Monaural Speech Dereverberation
Speech dereverberation is an important stage in many speech technology a...
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04/13/2022
Receptive Field Analysis of Temporal Convolutional Networks for Monaural Speech Dereverberation
Speech dereverberation is often an important requirement in robust speec...
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03/23/2022
MetricGAN+/-: Increasing Robustness of Noise Reduction on Unseen Data
Training of speech enhancement systems often does not incorporate knowle...
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03/29/2021
Multiple-hypothesis CTC-based semi-supervised adaptation of end-to-end speech recognition
This paper proposes an adaptation method for end-to-end speech recogniti...
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10/29/2020
T-vectors: Weakly Supervised Speaker Identification Using Hierarchical Transformer Model
Identifying multiple speakers without knowing where a speaker's voice is...
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10/22/2020
Towards Low-Resource StarGAN Voice Conversion using Weight Adaptive Instance Normalization
Many-to-many voice conversion with non-parallel training data has seen s...
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10/21/2020
Improving Audio Anomalies Recognition Using Temporal Convolutional Attention Network
Anomalous audio in speech recordings is often caused by speaker voice di...
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08/16/2020
Unsupervised Acoustic Unit Representation Learning for Voice Conversion using WaveNet Auto-encoders
Unsupervised representation learning of speech has been of keen interest...
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05/16/2020
Exploration of Audio Quality Assessment and Anomaly Localisation Using Attention Models
Many applications of speech technology require more and more audio data....
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05/15/2020
Speaker Re-identification with Speaker Dependent Speech Enhancement
While the use of deep neural networks has significantly boosted speaker ...
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05/15/2020
Weakly Supervised Training of Hierarchical Attention Networks for Speaker Identification
Identifying multiple speakers without knowing where a speaker's voice is...
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01/14/2020
Supervised Speaker Embedding De-Mixing in Two-Speaker Environment
In this work, a speaker embedding de-mixing approach is proposed. Instea...
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01/14/2020
Robust Speaker Recognition Using Speech Enhancement And Attention Model
In this paper, a novel architecture for speaker recognition is proposed ...
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10/17/2019
H-VECTORS: Utterance-level Speaker Embedding Using A Hierarchical Attention Model
In this paper, a hierarchical attention network to generate utterance-le...
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10/16/2019
Contextual Joint Factor Acoustic Embeddings
Embedding acoustic information into fixed length representations is of i...
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09/24/2019
Improving Robustness In Speaker Identification Using A Two-Stage Attention Model
In this paper a novel framework to tackle speaker recognition using a tw...
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07/02/2019
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition
Selecting in-domain data from a large pool of diverse and out-of-domain ...
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06/10/2016
Automatic Genre and Show Identification of Broadcast Media
Huge amounts of digital videos are being produced and broadcast every da...
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12/21/2015
The 2015 Sheffield System for Transcription of Multi-Genre Broadcast Media
We describe the University of Sheffield system for participation in the ...
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11/16/2015
Latent Dirichlet Allocation Based Organisation of Broadcast Media Archives for Deep Neural Network Adaptation
This paper presents a new method for the discovery of latent domains in ...
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09/13/2015
The USFD Spoken Language Translation System for IWSLT 2014
The University of Sheffield (USFD) participated in the International Wor...
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09/08/2015
Unsupervised Domain Discovery using Latent Dirichlet Allocation for Acoustic Modelling in Speech Recognition
Speech recognition systems are often highly domain dependent, a fact wid...
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09/08/2015
