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Exploiting a Zoo of Checkpoints for Unseen Tasks ...
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2
First DIHARD Challenge -- System Submissions and Scores ...
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First DIHARD Challenge -- System Submissions and Scores ...
Abstract: This dataset contains all submissions to the First DIHARD Speech Diarization Challenge (DIHARD I) as well as the output of the official scoring tool for these submissions. We are releasing it to the research community to support the development of new evaluation metrics for speech activity detection/diarization and system combination techniques. For more details about the evaluation, please consult the evaluation plan: https://zenodo.org/record/1199638 or the evaluation website: https://dihardchallenge.github.io/dihard1/index.html **NOTE** that this release only includes the system RTTMs that teams submitted to the DIHARD I scoring server. It does **NOT** include the DIHARD I evaluation set reference RTTMs and UEMs, which are needed to score the system outputs. These reference RTTM/UEM files are distributed by the Linguistic Data Consortium (LDC) as part of LDC2019S12 and LDC2019S13: LDC2019S12 -- First DIHARD Challenge Evaluation - Nine Sources LDC2019S13 -- First DIHARD Challenge Evaluation - SEEDLingS ...
Keyword: diarization; DIHARD; domain adaptation; machine learning; speaker diarization; speech activity detection; speech technology; system combination
URL: https://zenodo.org/record/4563220
https://dx.doi.org/10.5281/zenodo.4563220
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4
Decoupling recognition and transcription in Mandarin ASR ...
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5
Automatic recognition of suprasegmentals in speech ...
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6
The Role of Phonetic Units in Speech Emotion Recognition ...
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7
Data Collection vs. Knowledge Graph Completion: What is Needed to Improve Coverage? ...
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8
The Future of Computational Linguistics: On Beyond Alchemy
In: Front Artif Intell (2021)
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9
On Finite State Parsing
In: University of Massachusetts Occasional Papers in Linguistics (2020)
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10
The Second DIHARD Diarization Challenge: Dataset, task, and baselines ...
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11
ENHANCEMENT AND ANALYSIS OF CONVERSATIONAL SPEECH: JSALT 2017
Profant, Jan; Tsao, Yu; Du, Jun. - : IEEE, 2018
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12
Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model
In: Speech communication. - Amsterdam [u.a.] : Elsevier 55 (2013) 1, 162-177
OLC Linguistik
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13
Approximate inference: a sampling based modeling technique to capture complex dependencies in a language model
In: Speech communication. - Amsterdam [u.a.] : Elsevier 55 (2013) 1, 162-177
BLLDB
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14
A Summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition
Jansen, Aren; Dupoux, Emmanuel; Seltzer, Mike. - : Piscataway, NJ : IEEE, 2013
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15
A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition ...
Jansen, Aren; Dupoux, Emmanuel; Goldwater, Sharon. - : Carnegie Mellon University, 2013
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16
A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition ...
Jansen, Aren; Dupoux, Emmanuel; Goldwater, Sharon. - : Carnegie Mellon University, 2013
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17
Estimation problems in speech and natural language
Bhat, Suma P.. - 2010
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18
Contextual text mining
Mei, Qiaozhu. - 2009
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19
Approximate Lexicography and Web Search
In: International Journal of Lexicography 21 (2008) 3, 325-336
IDS OBELEX meta
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20
Approximate lexicography and Web search
In: International journal of lexicography. - Oxford : Oxford Univ. Press 21 (2008) 3, 325-336
BLLDB
OLC Linguistik
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