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Finding new ways through language resources

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Production Status

Availability

Modality

Ressource Use

Language Type

Languages

Conference

Noisy speech database for training speech enhancement algorithms and TTS models

Speech Corpus,

Language Type:

Monolingual

Languages:

English

Availability:

Freely Available

License:

Creative Commons License: Attribution 4.0 International

Interspeech2019 Expand/Collapse

Size:

10 GByte

Production Status:

Existing-used

Use:

Machine Learning

Paper title:
Speech Denoising With Deep Feature Losses
Paper track:
6.4 Speech enhancement: single-channel/Oral Presentation
Paper status:
Accept - Oral

Author Number	Name	Affiliation	Country
Main Contact	Francois Germain	Noisy speech database for training speech enhancement algorithms and TTS models	/N

Documentation:

Yes/English/Yes

USC-SFI MALACH Interviews and Transcripts English - Speech Recognition Edition

Speech Corpus,

Language Type:

Monolingual

Languages:

English

Availability:

From LDC

License:

LDC (with amendments, see site for details)

Interspeech2019 Expand/Collapse

Size:

180 hours

Production Status:

Newly created-finished

Use:

Speech Recognition/Understanding

Paper title:
Challenging the Boundaries of Speech Recognition: The MALACH Corpus
Paper track:
12.6 Speech and multimodal resources/Oral Presentation
Paper status:
Accept - Oral

Author Number	Name	Affiliation	Country
Main Contact	Michael Picheny	USC-SFI MALACH Interviews and Transcripts English - Speech Recognition Edition	/N

Documentation:

https://catalog.ldc.upenn.edu/docs/LDC2019S11/README.pdf

Word Importance Corpus

Speech/Written Corpus,

Language Type:

Language Independent

Languages:

Availability:

Freely Available

License:

Interspeech2019 Expand/Collapse

Size:

25000 tokens

Production Status:

Use:

Evaluation/Validation

Paper title:
Fusion Strategy for Prosodic and Lexical Representations of Word Importance
Paper track:
12.16 Semantic analysis and classification/Oral Presentation
Paper status:
Accept - Oral

Author Number	Name	Affiliation	Country
Main Contact	Sushant Kafle	Word Importance Corpus	/N

Documentation:

None

Orca activity detection database ComParE 2019 Challenge Not Applicable Corpus,

Language Type:

Language Independent

Languages:

Availability:

ComParE 2019 Challenge

License:

ComParE 2019 Challenge Participation

Interspeech2019 Expand/Collapse

Size:

8 GByte

Production Status:

Existing-used

Use:

Orca activity detection

Paper title:
Instantaneous Phase and Long-term Acoustic Cues for Orca Activity Detection
Paper track:
13.1 The Interspeech 2019 Computational Paralingui/Poster Presentation
Paper status:
Accept Special Session

Author Number	Name	Affiliation	Country
Main Contact	Rohan Kumar Das	Orca activity detection database ComParE 2019 Challenge	/N

Documentation:

It is available from the challeneg oranizers of ComParE 2019 paper

ASVspoof 2019 corpus Speech Corpus,

Language Type:

Language Independent

Languages:

Availability:

Freely Available

License:

ASVspoof 2019 challenge participatation

Interspeech2019 Expand/Collapse

Size:

20 GByte

Production Status:

Existing-used

Use:

Spoof Detection

Paper title:
Long Range Acoustic Features for Spoofed Speech Detection
Paper track:
13.3 The 2019 Automatic Speaker Verification Spoof/Poster Presentation
Paper status:
Accept Special Session

Author Number	Name	Affiliation	Country
Main Contact	Rohan Kumar Das	ASVspoof 2019 corpus	/N

Documentation:

Yes, available publicly in English language on ASVspoof 2019 challenge website

Speech Commands

Speech/Written Corpus,

Language Type:

Monolingual

Languages:

English

Availability:

Freely Available

License:

Interspeech2019 Expand/Collapse

Size:

2 GByte

Production Status:

Existing-used

Use:

Evaluation/Validation

Paper title:
End-to-end Adaptation with Backpropagation through WFST for On-device Speech Recognition System
Paper track:
8.8 Acoustic model adaptation (e.g. bandwidth, emo/Oral Presentation
Paper status:
Accept - Poster

Author Number	Name	Affiliation	Country
Main Contact	Emiru Tsunoo	TIMIT Acoustic-Phonetic Continuous Speech Corpus	/N
Main Contact	Emiru Tsunoo	Wall Street Journal (WSJ) Corpus	/N
Main Contact	Emiru Tsunoo	Wall Street Journal (WSJ) Corpus	/N
Main Contact	Emiru Tsunoo	ATR-503	/N
Main Contact	Emiru Tsunoo	Speech Commands	/N

Documentation:

None

ATR-503 Speech/Written Corpus,

Language Type:

Monolingual

Languages:

Japanese

Availability:

From Data Center(s)

License:

ATR

Interspeech2019 Expand/Collapse

Size:

None

Production Status:

Existing-used

Use:

Machine Learning

Paper title:
End-to-end Adaptation with Backpropagation through WFST for On-device Speech Recognition System
Paper track:
8.8 Acoustic model adaptation (e.g. bandwidth, emo/Oral Presentation
Paper status:
Accept - Poster

Author Number	Name	Affiliation	Country
Main Contact	Emiru Tsunoo	TIMIT Acoustic-Phonetic Continuous Speech Corpus	/N
Main Contact	Emiru Tsunoo	Wall Street Journal (WSJ) Corpus	/N
Main Contact	Emiru Tsunoo	Wall Street Journal (WSJ) Corpus	/N
Main Contact	Emiru Tsunoo	ATR-503	/N
Main Contact	Emiru Tsunoo	Speech Commands	/N

Documentation:

None

Wall Street Journal (WSJ) Corpus Speech/Written Corpus,

Language Type:

Monolingual

Languages:

English

Availability:

From Data Center(s)

License:

LDC

Interspeech2019 Expand/Collapse

Size:

None

Production Status:

Existing-used

Use:

Machine Learning

Paper title:
End-to-end Adaptation with Backpropagation through WFST for On-device Speech Recognition System
Paper track:
8.8 Acoustic model adaptation (e.g. bandwidth, emo/Oral Presentation
Paper status:
Accept - Poster

Author Number	Name	Affiliation	Country
Main Contact	Emiru Tsunoo	TIMIT Acoustic-Phonetic Continuous Speech Corpus	/N
Main Contact	Emiru Tsunoo	Wall Street Journal (WSJ) Corpus	/N
Main Contact	Emiru Tsunoo	Wall Street Journal (WSJ) Corpus	/N
Main Contact	Emiru Tsunoo	ATR-503	/N
Main Contact	Emiru Tsunoo	Speech Commands	/N

Documentation:

None

Wall Street Journal (WSJ) Corpus Speech/Written Corpus,

Language Type:

Monolingual

Languages:

English

Availability:

From Data Center(s)

License:

LDC

Interspeech2019 Expand/Collapse

Size:

None

Production Status:

Existing-used

Use:

Machine Learning

Paper title:
End-to-end Adaptation with Backpropagation through WFST for On-device Speech Recognition System
Paper track:
8.8 Acoustic model adaptation (e.g. bandwidth, emo/Oral Presentation
Paper status:
Accept - Poster

Author Number	Name	Affiliation	Country
Main Contact	Emiru Tsunoo	TIMIT Acoustic-Phonetic Continuous Speech Corpus	/N
Main Contact	Emiru Tsunoo	Wall Street Journal (WSJ) Corpus	/N
Main Contact	Emiru Tsunoo	Wall Street Journal (WSJ) Corpus	/N
Main Contact	Emiru Tsunoo	ATR-503	/N
Main Contact	Emiru Tsunoo	Speech Commands	/N

Documentation:

None

TIMIT Acoustic-Phonetic Continuous Speech Corpus Speech/Written Corpus,

Language Type:

Monolingual

Languages:

English

Availability:

From Data Center(s)

License:

LDC

Interspeech2019 Expand/Collapse

Size:

None

Production Status:

Existing-used

Use:

Machine Learning

Paper title:
End-to-end Adaptation with Backpropagation through WFST for On-device Speech Recognition System
Paper track:
8.8 Acoustic model adaptation (e.g. bandwidth, emo/Oral Presentation
Paper status:
Accept - Poster

Author Number	Name	Affiliation	Country
Main Contact	Emiru Tsunoo	TIMIT Acoustic-Phonetic Continuous Speech Corpus	/N
Main Contact	Emiru Tsunoo	Wall Street Journal (WSJ) Corpus	/N
Main Contact	Emiru Tsunoo	Wall Street Journal (WSJ) Corpus	/N
Main Contact	Emiru Tsunoo	ATR-503	/N
Main Contact	Emiru Tsunoo	Speech Commands	/N

Documentation:

None

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IS

isa-10

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The International Conference on Language Resources and Evaluation

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