Results 11 to 20 of about 1,252,449 (115)

Differentiable Generative Phonology [PDF]

open access: yesarXiv, 2021
The goal of generative phonology, as formulated by Chomsky and Halle (1968), is to specify a formal system that explains the set of attested phonological strings in a language. Traditionally, a collection of rules (or constraints, in the case of optimality theory) and underlying forms (UF) are posited to work in tandem to generate phonological strings.
arxiv  

Multilingual and crosslingual speech recognition using phonological-vector based phone embeddings [PDF]

open access: yesarXiv, 2021
The use of phonological features (PFs) potentially allows language-specific phones to remain linked in training, which is highly desirable for information sharing for multilingual and crosslingual speech recognition methods for low-resourced languages.
arxiv  

A Phylogenetic Model of the Evolution of Discrete Matrices for the Joint Inference of Lexical and Phonological Language Histories [PDF]

open access: yesarXiv, 2022
We propose a model of the evolution of a matrix along a phylogenetic tree, in which transformations affect either entire rows or columns of the matrix. This represents the change of both lexical and phonological aspects of linguistic data, by allowing for new words to appear and for systematic phonological changes to affect the entire vocabulary.
arxiv  

A Cognitive Dimensional Approach to Understanding Shared and Unique Contributions to Reading, Math, and Attention Skills

open access: yesJournal of Learning Disabilities, 2019
Disorders of reading, math, and attention frequently co-occur in children. However, it is not yet clear which cognitive factors contribute to comorbidities among multiple disorders and which uniquely relate to one, especially because they have rarely ...
Amanda E Child   +4 more
semanticscholar   +1 more source

UAS Quality Control and Crop Three-Dimensional Characterization Framework Using Multi-Temporal LiDAR Data

open access: yesRemote Sensing
Information on a crop’s three-dimensional (3D) structure is important for plant phenotyping and precision agriculture (PA). Currently, light detection and ranging (LiDAR) has been proven to be the most effective tool for crop 3D characterization in ...
Nadeem Fareed   +6 more
semanticscholar   +1 more source

Three-Dimensional Integration and Modeling: A Revolution in RF and Wireless Packaging

open access: yesThree-Dimensional Integration and Modeling, 2008
This book presents a step-by-step discussion of the 3D integration approach for the development of compact system-on-package (SOP) front-ends.Various examples of fully-integrated passive building blocks (cavity/microstip filters, duplexers, antennas), as
Jong-Hoon Lee, M. Tentzeris
semanticscholar   +1 more source

Applying Syntax$\unicode{x2013}$Prosody Mapping Hypothesis and Prosodic Well-Formedness Constraints to Neural Sequence-to-Sequence Speech Synthesis [PDF]

open access: yesarXiv, 2022
End-to-end text-to-speech synthesis (TTS), which generates speech sounds directly from strings of texts or phonemes, has improved the quality of speech synthesis over the conventional TTS. However, most previous studies have been evaluated based on subjective naturalness and have not objectively examined whether they can reproduce pitch patterns of ...
arxiv  

Improve Bilingual TTS Using Dynamic Language and Phonology Embedding [PDF]

open access: yesarXiv, 2022
In most cases, bilingual TTS needs to handle three types of input scripts: first language only, second language only, and second language embedded in the first language. In the latter two situations, the pronunciation and intonation of the second language are usually quite different due to the influence of the first language.
arxiv  

The phonetics and phonology of lenition: A Campidanese Sardinian case study

open access: yesLaboratory Phonology, 2019
This paper gives a detailed description of the consonant system of Campidanese Sardinian and makes methodological and theoretical contributions to the study of lenition.
Jonah Katz, Gianmarco Pitzanti
semanticscholar   +1 more source

Exploring How Generative Adversarial Networks Learn Phonological Representations [PDF]

open access: yesarXiv, 2023
This paper explores how Generative Adversarial Networks (GANs) learn representations of phonological phenomena. We analyze how GANs encode contrastive and non-contrastive nasality in French and English vowels by applying the ciwGAN architecture (Begus 2021a).
arxiv  

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