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Polish Read Speech Corpus for Speech Tools and Services
This paper describes the speech processing activities conducted at the P...
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Investigating the stylistic relevance of adjective and verb simile markers
Similes play an important role in literary texts not only as rhetorical ...
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Detecting Galaxy-Filament Alignments in the Sloan Digital Sky Survey III
Previous studies have shown the filamentary structures in the cosmic web...
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Large scale evaluation of importance maps in automatic speech recognition
In this paper, we propose a metric that we call the structured saliency ...
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SpecAugment on Large Scale Datasets
Recently, SpecAugment, an augmentation scheme for automatic speech recog...
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A Readability Analysis of Campaign Speeches from the 2016 US Presidential Campaign
Readability is defined as the reading level of the speech from grade 1 t...
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Open challenges in understanding development and evolution of speech forms: The roles of embodied self-organization, motivation and active exploration
This article discusses open scientific challenges for understanding deve...
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Corpus Phonetics Tutorial
Corpus phonetics has become an increasingly popular method of research in linguistic analysis. With advances in speech technology and computational power, large scale processing of speech data has become a viable technique. This tutorial introduces the speech scientist and engineer to various automatic speech processing tools. These include acoustic model creation and forced alignment using the Kaldi Automatic Speech Recognition Toolkit (Povey et al., 2011), forced alignment using FAVE-align (Rosenfelder et al., 2014), the Montreal Forced Aligner (McAuliffe et al., 2017), and the Penn Phonetics Lab Forced Aligner (Yuan & Liberman, 2008), as well as stop consonant burst alignment using AutoVOT (Keshet et al., 2014). The tutorial provides a general overview of each program, step-by-step instructions for running the program, as well as several tips and tricks.
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