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06/03/2023
Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling
Acoustic word embeddings are typically created by training a pooling fun...
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05/21/2023
Self-supervised Predictive Coding Models Encode Speaker and Phonetic Information in Orthogonal Subspaces
Self-supervised speech representations are known to encode both speaker ...
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02/23/2023
Prosodic features improve sentence segmentation and parsing
Parsing spoken dialogue presents challenges that parsing text does not, ...
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10/28/2022
Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Speech Models
Given the strong results of self-supervised models on various tasks, the...
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09/22/2021
Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech
While corpora of child speech and child-directed speech (CDS) have enabl...
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09/21/2021
On the Difficulty of Segmenting Words with Attention
Word segmentation, the problem of finding word boundaries in speech, is ...
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05/26/2021
Prosodic segmentation for parsing spoken dialogue
Parsing spoken dialogue poses unique difficulties, including disfluencie...
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05/12/2021
Black or White but never neutral: How readers perceive identity from yellow or skin-toned emoji
Research in sociology and linguistics shows that people use language not...
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05/07/2021
Identity Signals in Emoji Do not Influence Perception of Factual Truth on Twitter
Prior work has shown that Twitter users use skin-toned emoji as an act o...
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01/27/2021
A phonetic model of non-native spoken word processing
Non-native speakers show difficulties with spoken word processing. Many ...
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10/21/2020
LemMED: Fast and Effective Neural Morphological Analysis with Short Context Windows
We present LemMED, a character-level encoder-decoder for contextual morp...
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08/06/2020
Evaluating computational models of infant phonetic learning across languages
In the first year of life, infants' speech perception becomes attuned to...
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06/02/2020
Improved acoustic word embeddings for zero-resource languages using multilingual transfer
Acoustic word embeddings are fixed-dimensional representations of variab...
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05/18/2020
Inflecting when there's no majority: Limitations of encoder-decoder neural networks as cognitive models for German plurals
Can artificial neural networks learn to represent inflectional morpholog...
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04/30/2020
The role of context in neural pitch accent detection in English
Prosody is a rich information source in natural language, serving as a m...
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04/03/2020
Analyzing autoencoder-based acoustic word embeddings
Recent studies have introduced methods for learning acoustic word embedd...
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02/06/2020
Multilingual acoustic word embedding models for processing zero-resource languages
Acoustic word embeddings are fixed-dimensional representations of variab...
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10/23/2019
Analyzing ASR pretraining for low-resource speech-to-text translation
Previous work has shown that for low-resource source languages, automati...
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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...
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06/04/2019
Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection
The cognitive mechanisms needed to account for the English past tense ha...
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04/02/2019
Data Augmentation for Context-Sensitive Neural Lemmatization Using Inflection Tables and Raw Text
Lemmatization aims to reduce the sparse data problem by relating the inf...
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11/09/2018
Multilingual and Unsupervised Subword Modeling for Zero-Resource Languages
Unsupervised subword modeling aims to learn low-level representations of...
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09/05/2018
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation
We present a simple approach to improve direct speech-to-text translatio...
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04/07/2018
Evaluating historical text normalization systems: How well do they generalize?
We highlight several issues in the evaluation of historical text normali...
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03/24/2018
Low-Resource Speech-to-Text Translation
Speech-to-text translation has many potential applications for low-resou...
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03/23/2018
Multilingual bottleneck features for subword modeling in zero-resource languages
How can we effectively develop speech technology for languages where no ...
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03/23/2017
An embedded segmental K-means model for unsupervised segmentation and clustering of speech
Unsupervised segmentation and clustering of unlabelled speech are core p...
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02/13/2017
Towards speech-to-text translation without speech recognition
We explore the problem of translating speech to text in low-resource sce...
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06/22/2016
A segmental framework for fully-unsupervised large-vocabulary speech recognition
Zero-resource speech technology is a growing research area that aims to ...
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03/09/2016