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Conference

2005 NIST Language Recognition Evaluation

Speech Corpus,

Language Type:

Multilingual

Languages:

English Hindi Japanese Korean Mandarin Spanish Tamil

Availability:

From Owner

License:

LDC

Interspeech2021 Expand/Collapse

Size:

73 hours

Production Status:

Existing-used

Use:

Language Identification

Paper title:
Modeling and training strategies for language recognition systems
Paper track:
4.1 Language identification and verification, lang/Oral Presentation
Paper status:
Accept

Author Number	Name	Affiliation	Country
Main Contact	Raphaël Duroselle	2007 NIST Language Recognition Evaluation Supplemental Training Set	/N
Main Contact	Raphaël Duroselle	2003 NIST Language Recognition Evaluation	/N
Main Contact	Raphaël Duroselle	2005 NIST Language Recognition Evaluation	/N
Main Contact	Raphaël Duroselle	2007 NIST Language Recognition Evaluation Test Set	/N
Main Contact	Raphaël Duroselle	2009 NIST Language Recognition Evaluation Test Set	/N
Main Contact	Raphaël Duroselle	2008 NIST Speaker Recognition Evaluation	/N
Main Contact	Raphaël Duroselle	2008 NIST Speaker Recognition Evaluation Training Set Part 2	/N
Main Contact	Raphaël Duroselle	IARPA Babel Assamese Language Pack IARPA-babel102b-v0.5a	/N
Main Contact	Raphaël Duroselle	IARPA Babel Bengali Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Pashto Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Turkish Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Vietnamese Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Haitian Creole Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Lao Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Tamil Language Pack	/N

Documentation:

None

2003 NIST Language Recognition Evaluation

Speech Corpus,

Language Type:

Multilingual

Languages:

Arabic English Farsi French German Hindi Japanese Korean Mandarin Russian Spanish Tamil Vietnamese

Availability:

From Owner

License:

LDC

Interspeech2021 Expand/Collapse

Size:

46 hours

Production Status:

Existing-used

Use:

Language Identification

Paper title:
Modeling and training strategies for language recognition systems
Paper track:
4.1 Language identification and verification, lang/Oral Presentation
Paper status:
Accept

Author Number	Name	Affiliation	Country
Main Contact	Raphaël Duroselle	2007 NIST Language Recognition Evaluation Supplemental Training Set	/N
Main Contact	Raphaël Duroselle	2003 NIST Language Recognition Evaluation	/N
Main Contact	Raphaël Duroselle	2005 NIST Language Recognition Evaluation	/N
Main Contact	Raphaël Duroselle	2007 NIST Language Recognition Evaluation Test Set	/N
Main Contact	Raphaël Duroselle	2009 NIST Language Recognition Evaluation Test Set	/N
Main Contact	Raphaël Duroselle	2008 NIST Speaker Recognition Evaluation	/N
Main Contact	Raphaël Duroselle	2008 NIST Speaker Recognition Evaluation Training Set Part 2	/N
Main Contact	Raphaël Duroselle	IARPA Babel Assamese Language Pack IARPA-babel102b-v0.5a	/N
Main Contact	Raphaël Duroselle	IARPA Babel Bengali Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Pashto Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Turkish Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Vietnamese Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Haitian Creole Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Lao Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Tamil Language Pack	/N

Documentation:

None

2007 NIST Language Recognition Evaluation Supplemental Training Set

Speech/Written Corpus,

Language Type:

Multilingual

Languages:

Arabic Bengali Cantonese Madarin Chinese Min Nan Chinese Russian Spanish Tamil Thai Urdu Wu Chinese

Availability:

From Owner

License:

LDC

Interspeech2021 Expand/Collapse

Size:

118 hours

Production Status:

Existing-used

Use:

Language Identification

Paper title:
Modeling and training strategies for language recognition systems
Paper track:
4.1 Language identification and verification, lang/Oral Presentation
Paper status:
Accept

Author Number	Name	Affiliation	Country
Main Contact	Raphaël Duroselle	2007 NIST Language Recognition Evaluation Supplemental Training Set	/N
Main Contact	Raphaël Duroselle	2003 NIST Language Recognition Evaluation	/N
Main Contact	Raphaël Duroselle	2005 NIST Language Recognition Evaluation	/N
Main Contact	Raphaël Duroselle	2007 NIST Language Recognition Evaluation Test Set	/N
Main Contact	Raphaël Duroselle	2009 NIST Language Recognition Evaluation Test Set	/N
Main Contact	Raphaël Duroselle	2008 NIST Speaker Recognition Evaluation	/N
Main Contact	Raphaël Duroselle	2008 NIST Speaker Recognition Evaluation Training Set Part 2	/N
Main Contact	Raphaël Duroselle	IARPA Babel Assamese Language Pack IARPA-babel102b-v0.5a	/N
Main Contact	Raphaël Duroselle	IARPA Babel Bengali Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Pashto Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Turkish Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Vietnamese Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Haitian Creole Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Lao Language Pack	/N
Main Contact	Raphaël Duroselle	IARPA Babel Tamil Language Pack	/N

Documentation:

None

Oriental Language Recogntion challenge 2020 corpus

Speech Corpus,

Language Type:

Multilingual

Languages:

Cantonese Indonesian Japanese Kazakh Korean Mandarin Russian Tibetan Uyghur Vietnamese

Availability:

From Owner

License:

Speechocean and Center for Speech and LanguageTechnologies (Tsinghua University)

Interspeech2021 Expand/Collapse

Size:

None GByte

Production Status:

Existing-used

Use:

Language Identification

Paper title:
Language recognition on unknown conditions: the LORIA-Inria-MULTISPEECH system for AP20-OLR Challenge
Paper track:
14.4 Oriental Langauge Recognition/Oral Presentation
Paper status:
Accept

Author Number	Name	Affiliation	Country
Main Contact	Raphaël Duroselle	Oriental Language Recogntion challenge 2020 corpus	/N

Documentation:

Evaluation plan paper

ESpnet

Speech/Written Text-to-Speech Synthesizer,

Language Type:

Language Independent

Languages:

Availability:

Freely Available

License:

Interspeech2021 Expand/Collapse

Size:

None

Production Status:

Existing-used

Use:

Speech Synthesis

Paper title:
Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input
Paper track:
7.2 Text processing for speech synthesis/Poster Presentation
Paper status:
Accept

Author Number	Name	Affiliation	Country
Main Contact	Brooke Stephenson	Hugging Face	/N
Main Contact	Brooke Stephenson	ESpnet	/N

Documentation:

None

Hugging Face

Written Language Modeling Tool,

Language Type:

Language Independent

Languages:

Availability:

Freely Available

License:

Interspeech2021 Expand/Collapse

Size:

82M parameters Other

Production Status:

Existing-used

Use:

Language Modelling

Paper title:
Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input
Paper track:
7.2 Text processing for speech synthesis/Poster Presentation
Paper status:
Accept

Author Number	Name	Affiliation	Country
Main Contact	Brooke Stephenson	Hugging Face	/N
Main Contact	Brooke Stephenson	ESpnet	/N

Documentation:

Yes. English

Pytorch-Kaldi

Speech Machine Learning Tool,

Language Type:

Language Independent

Languages:

Availability:

Freely Available

License:

Interspeech2021 Expand/Collapse

Size:

None

Production Status:

Existing-updated

Use:

Machine Learning

Paper title:
Privacy-Preserving Feature Extraction for Cloud-Based Wake Word Verification
Paper track:
14.16 Privacy-preserving Machine Learning for Audi/Oral Presentation
Paper status:
Accept

Author Number	Name	Affiliation	Country
Main Contact	Timm Koppelmann	Kaldi	/N
Main Contact	Timm Koppelmann	LibriSpeech ASR corpus	/N
Main Contact	Timm Koppelmann	Pytorch-Kaldi	/N

Documentation:

None

LibriSpeech ASR corpus

Speech Corpus,

Language Type:

Monolingual

Languages:

English

Availability:

Freely Available

License:

CC BY 4.0

Interspeech2021 Expand/Collapse

Size:

1000 hours

Production Status:

Existing-used

Use:

Speech Recognition/Understanding

Paper title:
Privacy-Preserving Feature Extraction for Cloud-Based Wake Word Verification
Paper track:
14.16 Privacy-preserving Machine Learning for Audi/Oral Presentation
Paper status:
Accept

Author Number	Name	Affiliation	Country
Main Contact	Timm Koppelmann	Kaldi	/N
Main Contact	Timm Koppelmann	LibriSpeech ASR corpus	/N
Main Contact	Timm Koppelmann	Pytorch-Kaldi	/N

Documentation:

http://www.danielpovey.com/files/2015_icassp_librispeech.pdf

Kaldi

Speech Speech Recognizer/Transcriber,

Language Type:

Language Independent

Languages:

Availability:

Freely Available

License:

Apache License v2.0

Interspeech2021 Expand/Collapse

Size:

20 MByte

Production Status:

Existing-used

Use:

Speech Recognition/Understanding

Paper title:
Privacy-Preserving Feature Extraction for Cloud-Based Wake Word Verification
Paper track:
14.16 Privacy-preserving Machine Learning for Audi/Oral Presentation
Paper status:
Accept

Author Number	Name	Affiliation	Country
Main Contact	Timm Koppelmann	Kaldi	/N
Main Contact	Timm Koppelmann	LibriSpeech ASR corpus	/N
Main Contact	Timm Koppelmann	Pytorch-Kaldi	/N

Documentation:

http://kaldi-asr.org/doc/

Augmented Multi-party Interaction (AMI) meeting corpus

Speech Corpus,

Language Type:

Monolingual

Languages:

English

Availability:

Freely Available

License:

Creative Commons Attribution 4.0 International Licence (CC BY 4.0)

Interspeech2021 Expand/Collapse

Size:

100 hours

Production Status:

Existing-used

Use:

Speech Recognition/Understanding

Paper title:
Online Speaker Diarization Equipped with Discriminative Modeling and Guided Inference
Paper track:
4.5 Speaker diarization/Oral Presentation
Paper status:
Accept

Author Number	Name	Affiliation	Country
Main Contact	Xucheng Wan	Augmented Multi-party Interaction (AMI) meeting corpus	/N

Documentation:

This is a web version of the following newsletter article: Carletta, J. (2006) Announcing the AMI Meeting Corpus. The ELRA Newsletter 11(1), January-March, p. 3-5.

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The International Conference on Language Resources and Evaluation

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