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Contemporary speech science is driven by the availability of large, diverse speech corpora. Such infrastructure underpins research and technological advances in various practical, socially beneficial ...
A Self-Transcribing Speech Corpus: Collecting Continuous Speech with an Online Educational Game.
A Self-Labeling Speech Corpus: Collecting Spoken Words with an Online Educational Game.
CASIA-CASSIL is a large-scale corpus of Chinese spontaneous telephone conversations in tourism domain underdevelopment. This paper gives some statistics of linguistic characteristics based on the Dial...
This paper will introduce a Multi-accent and Multi-lingual Speech Corpus for 3 Chinese Dialectal regions and western American regions: Guangzhou for Cantonese (Yue) dialect, Xiamen for Min dialect and...
This paper presents approach of multi-lingual speech corpus design, data collection and phonetic annotation for text-to-speech (TTS) system development. Under a uniform data structure, more than 10 la...
In this paper,a large-scale Shanghai Putonghuaspeech corpus forChinesespeech recognition is introduced, where Shanghai Putonghua stands forthePutonghua (standard Chinese)influencedby the Shanghai ...
It is very important in speech recognition that the training corpus for acoustic modeling can cover as many co-articulation phenomena as possible using a small set of prompting texts. In this paper, a...
In this paper, a Chinese Spontaneous Telephone Speech Corpus in the flight enquiry and reservation domain (CSTSC-Flight) of 6 GB raw data containing about 50 hours’ valid speech is intro...
Speech corpus of Chinese discourse (ASCCD) was setup and annotated on segmental and prosodic and syntactic tiers. SAMPA-C and C-ToBI conventions are used for segmental and prosodic labeling. Sound var...

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