Sharon Goldwater

research

∙ 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...

0 Ramon Sanabria, et al. ∙

research

∙ 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 ...

0 Oli Liu, et al. ∙

research

∙ 02/23/2023

Prosodic features improve sentence segmentation and parsing

Parsing spoken dialogue presents challenges that parsing text does not, ...

0 Elizabeth Nielsen, et al. ∙

research

∙ 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...

0 Ramon Sanabria, et al. ∙

research

∙ 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...

6 Ida Szubert, et al. ∙

research

∙ 09/21/2021

On the Difficulty of Segmenting Words with Attention

Word segmentation, the problem of finding word boundaries in speech, is ...

0 Ramon Sanabria, et al. ∙

research

∙ 05/26/2021

Prosodic segmentation for parsing spoken dialogue

Parsing spoken dialogue poses unique difficulties, including disfluencie...

7 Elizabeth Nielsen, et al. ∙

research

∙ 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...

8 Alexander Robertson, et al. ∙

research

∙ 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...

0 Alexander Robertson, et al. ∙

research

∙ 01/27/2021

A phonetic model of non-native spoken word processing

Non-native speakers show difficulties with spoken word processing. Many ...

0 Yevgen Matusevych, et al. ∙

research

∙ 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...

0 Aibek Makazhanov, et al. ∙

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...

0 Yevgen Matusevych, et al. ∙

research

∙ 06/02/2020

Improved acoustic word embeddings for zero-resource languages using multilingual transfer

Acoustic word embeddings are fixed-dimensional representations of variab...

0 Herman Kamper, et al. ∙

research

∙ 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...

0 Kate McCurdy, et al. ∙

research

∙ 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...

0 Elizabeth Nielsen, et al. ∙

research

∙ 04/03/2020

Analyzing autoencoder-based acoustic word embeddings

Recent studies have introduced methods for learning acoustic word embedd...

0 Yevgen Matusevych, et al. ∙

research

∙ 02/06/2020

Multilingual acoustic word embedding models for processing zero-resource languages

Acoustic word embeddings are fixed-dimensional representations of variab...

0 Herman Kamper, et al. ∙

research

∙ 10/23/2019

Analyzing ASR pretraining for low-resource speech-to-text translation

Previous work has shown that for low-resource source languages, automati...

0 Mihaela C. Stoian, et al. ∙

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...

0 Sameer Bansal, et al. ∙

research

∙ 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...

0 Maria Corkery, et al. ∙

research

∙ 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...

0 Toms Bergmanis, et al. ∙

research

∙ 11/09/2018

Multilingual and Unsupervised Subword Modeling for Zero-Resource Languages

Unsupervised subword modeling aims to learn low-level representations of...

0 Enno Hermann, et al. ∙

research

∙ 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...

0 Sameer Bansal, et al. ∙

research

∙ 04/07/2018

Evaluating historical text normalization systems: How well do they generalize?

We highlight several issues in the evaluation of historical text normali...

0 Alexander Robertson, et al. ∙

research

∙ 03/24/2018

Low-Resource Speech-to-Text Translation

Speech-to-text translation has many potential applications for low-resou...

0 Sameer Bansal, et al. ∙

research

∙ 03/23/2018

Multilingual bottleneck features for subword modeling in zero-resource languages

How can we effectively develop speech technology for languages where no ...

0 Enno Hermann, et al. ∙

research

∙ 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...

0 Herman Kamper, et al. ∙

research

∙ 02/13/2017

Towards speech-to-text translation without speech recognition

We explore the problem of translating speech to text in low-resource sce...

0 Sameer Bansal, et al. ∙

research

∙ 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 ...

0 Herman Kamper, et al. ∙

research

∙ 03/09/2016

Unsupervised word segmentation and lexicon discovery using acoustic word embeddings

In settings where only unlabelled speech data is available, speech techn...

0 Herman Kamper, et al. ∙

Sharon Goldwater

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