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1
Inferring Pitch from Coarse Spectral Features ...
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2
Global TIMIT Mandarin Chinese
Ding, Hongwei; Liao, Sishi; Zhan, Yuqing. - : Linguistic Data Consortium, 2021. : https://www.ldc.upenn.edu, 2021
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3
Second DIHARD Challenge Development - Eleven Sources
Ryant, Neville; Liberman, Mark; Fiumara, James. - : Linguistic Data Consortium, 2021. : https://www.ldc.upenn.edu, 2021
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Second DIHARD Challenge Development - SEEDLingS
Ryant, Neville; Liberman, Mark; Fiumara, James. - : Linguistic Data Consortium, 2021. : https://www.ldc.upenn.edu, 2021
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5
First DIHARD Challenge -- System Submissions and Scores ...
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First DIHARD Challenge -- System Submissions and Scores ...
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7
Second DIHARD Challenge Development - SEEDLingS ...
Liberman, Mark; Fiumara, James; Cieri, Christopher. - : Linguistic Data Consortium, 2021
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8
Second DIHARD Challenge Development - Eleven Sources ...
Liberman, Mark; Fiumara, James; Cieri, Christopher. - : Linguistic Data Consortium, 2021
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9
Automatic recognition of suprasegmentals in speech ...
Abstract: This study reports our efforts to improve automatic recognition of suprasegmentals by fine-tuning wav2vec 2.0 with CTC, a method that has been successful in automatic speech recognition. We demonstrate that the method can improve the state-of-the-art on automatic recognition of syllables, tones, and pitch accents. Utilizing segmental information, by employing tonal finals or tonal syllables as recognition units, can significantly improve Mandarin tone recognition. Language models are helpful when tonal syllables are used as recognition units, but not helpful when tones are recognition units. Finally, Mandarin tone recognition can benefit from English phoneme recognition by combining the two tasks in fine-tuning wav2vec 2.0. ... : submitted to ASRU 2021 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2108.01122
https://arxiv.org/abs/2108.01122
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10
Global TIMIT Mandarin Chinese ...
Ding, Hongwei; Liao, Sishi; Zhan, Yuqing. - : Linguistic Data Consortium, 2021
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11
Digital Speech Analysis in Progressive Supranuclear Palsy and Corticobasal Syndromes
In: J Alzheimers Dis (2021)
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12
The Future of Computational Linguistics: On Beyond Alchemy
In: Front Artif Intell (2021)
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13
Natural language processing methods are sensitive to sub-clinical linguistic differences in schizophrenia spectrum disorders
In: NPJ Schizophr (2021)
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14
Automated analysis of lexical features in Frontotemporal Degeneration
In: Cortex (2021)
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15
Automated Analysis of Digitized Letter Fluency Data
In: Front Psychol (2021)
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16
Tonal Complexes and Tonal Alignment
In: North East Linguistics Society (2021)
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17
Global TIMIT Learner Simple English
Ding, Hongwei; Liao, Sishi; Zhan, Yuqing. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020
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18
Global TIMIT Learner Treebank English
Luan, Huan; Wang, Yanhong; Feng, Hui. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020
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19
Global TIMIT Mandarin Chinese-Guanzhong Dialect
Jiang, Yue; Zhan, Juhong; Han, Hongjian. - : Linguistic Data Consortium, 2020. : https://www.ldc.upenn.edu, 2020
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20
Probing Acoustic Representations for Phonetic Properties ...
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