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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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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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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 ...
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10
Global TIMIT Mandarin Chinese ...
Ding, Hongwei; Liao, Sishi; Zhan, Yuqing; Yuan, Jiahong; Liberman, Mark. - : Linguistic Data Consortium, 2021
Abstract:

Introduction

Global TIMIT Mandarin Chinese was developed by LDC and Shanghai Jiao Tong University and consists of approximately five hours of read speech and transcripts in Mandarin Chinese. The Global TIMIT project aimed to create a series of corpora in a variety of languages with a similar set of key features as in the original TIMIT Acoustic-Phonetic Continuous Speech Corpus (LDC93S1) which was designed for acoustic-phonetic studies and for the development and evaluation of automatic speech recognition systems. Specifically, these features included:
  • A large number of fluently-read sentences, containing a representative sample of phonetic, lexical, syntactic, semantic, and pragmatic patterns
  • A relatively large number of speakers
  • Time-aligned lexical and phonetic transcription of all utterances
  • Some sentences read ...
URL: https://dx.doi.org/10.35111/bvxn-eh36
https://catalog.ldc.upenn.edu/LDC2021S03
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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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