research
∙
07/12/2023
Rhythm Modeling for Voice Conversion
Voice conversion aims to transform source speech into a different target...
share
research
∙
07/05/2023
Leveraging multilingual transfer for unsupervised semantic acoustic word embeddings
Acoustic word embeddings (AWEs) are fixed-dimensional vector representat...
research
∙
07/04/2023
Disentanglement in a GAN for Unconditional Speech Synthesis
Can we develop a model that can synthesize realistic speech directly fro...
research
∙
06/20/2023
Visually grounded few-shot word learning in low-resource settings
We propose a visually grounded speech model that learns new words and th...
research
∙
06/01/2023
Towards hate speech detection in low-resource languages: Comparing ASR to acoustic word embeddings on Wolof and Swahili
We consider hate speech detection through keyword spotting on radio broa...
research
∙
05/30/2023
Voice Conversion With Just Nearest Neighbors
Any-to-any voice conversion aims to transform source speech into a targe...
research
∙
05/25/2023
Visually grounded few-shot word acquisition with fewer shots
We propose a visually grounded speech model that acquires new words and ...
research
∙
05/22/2023
Mitigating Catastrophic Forgetting for Few-Shot Spoken Word Classification Through Meta-Learning
We consider the problem of few-shot spoken word classification in a sett...
research
∙
10/14/2022
TransFusion: Transcribing Speech with Multinomial Diffusion
Diffusion models have shown exceptional scaling properties in the image ...
research
∙
10/12/2022
Towards visually prompted keyword localisation for zero-resource spoken languages
Imagine being able to show a system a visual depiction of a keyword and ...
research
∙
10/11/2022
GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from Diffusion Models
We propose AudioStyleGAN (ASGAN), a new generative adversarial network (...
research
∙
10/10/2022
YFACC: A Yorùbá speech-image dataset for cross-lingual keyword localisation through visual grounding
Visually grounded speech (VGS) models are trained on images paired with ...
research
∙
06/23/2022
A Temporal Extension of Latent Dirichlet Allocation for Unsupervised Acoustic Unit Discovery
Latent Dirichlet allocation (LDA) is widely used for unsupervised topic ...
research
∙
02/24/2022
Word Segmentation on Discovered Phone Units with Dynamic Programming and Self-Supervised Scoring
Recent work on unsupervised speech segmentation has used self-supervised...
research
∙
02/02/2022
Keyword localisation in untranscribed speech using visually grounded speech models
Keyword localisation is the task of finding where in a speech utterance ...
research
∙
11/04/2021
Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel
While multi-agent reinforcement learning has been used as an effective m...
research
∙
11/04/2021
Voice Conversion Can Improve ASR in Very Low-Resource Settings
Voice conversion (VC) has been proposed to improve speech recognition sy...
research
∙
11/03/2021
A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion
The goal of voice conversion is to transform source speech into a target...
research
∙
08/02/2021
Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing
Contrastive predictive coding (CPC) aims to learn representations of spe...
research
∙
07/03/2021
Mava: a research framework for distributed multi-agent reinforcement learning
Breakthrough advances in reinforcement learning (RL) research have led t...
research
∙
06/24/2021
Multilingual transfer of acoustic word embeddings improves when training on languages related to the target zero-resource language
Acoustic word embedding models map variable duration speech segments to ...
research
∙
06/16/2021
Attention-Based Keyword Localisation in Speech using Visual Grounding
Visually grounded speech models learn from images paired with spoken cap...
research
∙
05/31/2021
StarGAN-ZSVC: Towards Zero-Shot Voice Conversion in Low-Resource Contexts
Voice conversion is the task of converting a spoken utterance from a sou...
research
∙
03/19/2021
Acoustic word embeddings for zero-resource languages using self-supervised contrastive learning and multilingual adaptation
Acoustic word embeddings (AWEs) are fixed-dimensional representations of...
research
∙
01/27/2021
A phonetic model of non-native spoken word processing
Non-native speakers show difficulties with spoken word processing. Many ...
research
∙
12/14/2020
Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks
We investigate segmenting and clustering speech into low-bitrate phone-l...
research
∙
12/14/2020
Towards localisation of keywords in speech using weak supervision
Developments in weakly supervised and self-supervised models could enabl...
research
∙
12/14/2020
A comparison of self-supervised speech representations as input features for unsupervised acoustic word embeddings
Many speech processing tasks involve measuring the acoustic similarity b...
research
∙
12/10/2020
Direct multimodal few-shot learning of speech and images
We propose direct multimodal few-shot models that learn a shared embeddi...
research
∙
12/03/2020
A Correspondence Variational Autoencoder for Unsupervised Acoustic Word Embeddings
We propose a new unsupervised model for mapping a variable-duration spee...
research
∙
10/05/2020
Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
Research in NLP lacks geographic diversity, and the question of how NLP ...
research
∙
08/14/2020
Unsupervised vs. transfer learning for multimodal one-shot matching of speech and images
We consider the task of multimodal one-shot speech-image matching. An ag...
research
∙
08/06/2020
Evaluating computational models of infant phonetic learning across languages
In the first year of life, infants' speech perception becomes attuned to...
research
∙
06/02/2020
Improved acoustic word embeddings for zero-resource languages using multilingual transfer
Acoustic word embeddings are fixed-dimensional representations of variab...
research
∙
05/19/2020
Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge
In this paper, we explore vector quantization for acoustic unit discover...
research
∙
04/03/2020
Analyzing autoencoder-based acoustic word embeddings
Recent studies have introduced methods for learning acoustic word embedd...
research
∙
03/28/2020
Unsupervised feature learning for speech using correspondence and Siamese networks
In zero-resource settings where transcribed speech audio is unavailable,...
research
∙
03/13/2020
Masakhane – Machine Translation For Africa
Africa has over 2000 languages. Despite this, African languages account ...
research
∙
02/06/2020
Multilingual acoustic word embedding models for processing zero-resource languages
Acoustic word embeddings are fixed-dimensional representations of variab...
research
∙
12/11/2019
Deep motion estimation for parallel inter-frame prediction in video compression
Standard video codecs rely on optical flow to guide inter-frame predicti...
research
∙
12/11/2019
BINet: a binary inpainting network for deep patch-based image compression
Recent deep learning models outperform standard lossy image compression ...
research
∙
10/13/2019
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks
Recent work in signal propagation theory has shown that dropout limits t...
research
∙
10/12/2019
On the expected behaviour of noise regularised deep neural networks as Gaussian processes
Recent work has established the equivalence between deep neural networks...
research
∙
08/29/2019
Classifying topics in speech when all you have is crummy translations
Given a large amount of unannotated speech in a language with few resour...
research
∙
04/24/2019
On the Contributions of Visual and Textual Supervision in Low-resource Semantic Speech Retrieval
Recent work has shown that speech paired with images can be used to lear...
research
∙
04/16/2019
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks
For our submission to the ZeroSpeech 2019 challenge, we apply discrete l...
research
∙
04/15/2019
Semantic query-by-example speech search using visual grounding
A number of recent studies have started to investigate how speech system...
research
∙
11/14/2018
Almost Zero-Resource ASR-free Keyword Spotting using Multilingual Bottleneck Features and Correspondence Autoencoders
We compare features for dynamic time warping based keyword spotting in a...
research
∙
11/09/2018
Multimodal One-Shot Learning of Speech and Images
Imagine a robot is shown new concepts visually together with spoken tags...
research
∙
11/09/2018
