LRE Map

Finding new ways through language resources

10000 results found.

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Resource Type

Production Status

Availability

Modality

Ressource Use

Language Type

Languages

Conference

OpenSubtitles

Written Corpus,

Language Type:

Monolingual

Languages:

Finnish

Availability:

Freely Available

License:

Interspeech2020 Expand/Collapse

Size:

None

Production Status:

Use:

Language Modelling

Paper title:
FinChat: Corpus and evaluation setup for Finnish chat conversations on everyday topics
Paper track:
12.19 Other topics in Spoken Language Processing: /Oral Presentation
Paper status:
Accept - Poster

Author Number	Name	Affiliation	Country
Main Contact	Katri Leino	OpenSubtitles	/N
Main Contact	Katri Leino	The Suomi 24 Sentences Corpus	/N
Main Contact	Katri Leino	FinChat	/N

Documentation:

None

TIMIT

Speech/Written Corpus,

Language Type:

Monolingual

Languages:

English

Availability:

From Data Center(s)

License:

LDC

Interspeech2020 Expand/Collapse

Size:

6300 sentences

Production Status:

Existing-used

Use:

Speech Recognition/Understanding

Paper title:
U-net based direct-path dominance test for robust direction-of-arrival estimation
Paper track:
5.9 Speaker spatial localization/Oral Presentation
Paper status:
Accept - Poster

Author Number	Name	Affiliation	Country
Main Contact	Hao Wang	TIMIT	/N

Documentation:

https://catalog.ldc.upenn.edu/docs/LDC93S1/

Corpus of Spontaneous Japanese Speech Corpus,

Language Type:

Monolingual

Languages:

Japanese

Availability:

From Data Center(s)

License:

Interspeech2020 Expand/Collapse

Size:

661 hours

Production Status:

Existing-used

Use:

Speech Synthesis

Paper title:
Investigating Effective Additional Contextual Factors in DNN-based Spontaneous Speech Synthesis
Paper track:
7.10 Expression, emotion and personality generatio/Poster Presentation
Paper status:
Accept - Poster

Author Number	Name	Affiliation	Country
Main Contact	Yuki Yamashita	Corpus of Spontaneous Japanese	/N

Documentation:

None

MSP-Conversation corpus

Speech Corpus,

Language Type:

Monolingual

Languages:

English

Availability:

From Owner

License:

FDP data transfer form

Interspeech2020 Expand/Collapse

Size:

15 hours

Production Status:

Newly created-in progress

Use:

Emotion Recognition/Generation

Paper title:
The MSP-Conversation Corpus
Paper track:
3.1 Analysis of speaker states/Oral Presentation
Paper status:
Accept - Oral

Author Number	Name	Affiliation	Country
Main Contact	Carlos Busso	MSP-Conversation corpus	/N

Documentation:

None

Deep Noise Suppression (DNS) Challenge Datasets

Speech, Noise and Noisy Speech Recordings Corpus,

Language Type:

Language Independent

Languages:

Availability:

Freely Available

License:

CreativeCommons

Interspeech2020 Expand/Collapse

Size:

None

Production Status:

Existing-used

Use:

Speech Enhancement

Paper title:
INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising
Paper track:
13.10 Deep Noise Suppression Challenge/Oral Presentation
Paper status:
Accept Special Session

Author Number	Name	Affiliation	Country
Main Contact	Maximilian Strake	CSR-I (WSJ0) Sennheiser	/N
Main Contact	Maximilian Strake	DEMAND: Diverse Environments Multichannel Acoustic Noise Database	/N
Main Contact	Maximilian Strake	QUT-Noise Database	/N
Main Contact	Maximilian Strake	Deep Noise Suppression (DNS) Challenge Datasets	/N

Documentation:

https://github.com/microsoft/DNS-Challenge

QUT-Noise Database

Noise Recordings Corpus,

Language Type:

Language Independent

Languages:

Availability:

Freely Available

License:

CreativeCommons

Interspeech2020 Expand/Collapse

Size:

None

Production Status:

Existing-used

Use:

Speech Enhancement

Paper title:
INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising
Paper track:
13.10 Deep Noise Suppression Challenge/Oral Presentation
Paper status:
Accept Special Session

Author Number	Name	Affiliation	Country
Main Contact	Maximilian Strake	CSR-I (WSJ0) Sennheiser	/N
Main Contact	Maximilian Strake	DEMAND: Diverse Environments Multichannel Acoustic Noise Database	/N
Main Contact	Maximilian Strake	QUT-Noise Database	/N
Main Contact	Maximilian Strake	Deep Noise Suppression (DNS) Challenge Datasets	/N

Documentation:

https://eprints.qut.edu.au/38144/

DEMAND: Diverse Environments Multichannel Acoustic Noise Database

Noise Recordings Corpus,

Language Type:

Language Independent

Languages:

Availability:

Freely Available

License:

Creative Commons

Interspeech2020 Expand/Collapse

Size:

7.4 GByte

Production Status:

Existing-used

Use:

Speech Enhancement

Paper title:
INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising
Paper track:
13.10 Deep Noise Suppression Challenge/Oral Presentation
Paper status:
Accept Special Session

Author Number	Name	Affiliation	Country
Main Contact	Maximilian Strake	CSR-I (WSJ0) Sennheiser	/N
Main Contact	Maximilian Strake	DEMAND: Diverse Environments Multichannel Acoustic Noise Database	/N
Main Contact	Maximilian Strake	QUT-Noise Database	/N
Main Contact	Maximilian Strake	Deep Noise Suppression (DNS) Challenge Datasets	/N

Documentation:

https://zenodo.org/record/1227121/files/DEMAND.pdf?download=1

CSR-I (WSJ0) Sennheiser

Speech Corpus,

Language Type:

Monolingual

Languages:

English

Availability:

From Data Center(s)

License:

LDC

Interspeech2020 Expand/Collapse

Size:

None

Production Status:

Existing-used

Use:

Speech Enhancement

Paper title:
INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising
Paper track:
13.10 Deep Noise Suppression Challenge/Oral Presentation
Paper status:
Accept Special Session

Author Number	Name	Affiliation	Country
Main Contact	Maximilian Strake	CSR-I (WSJ0) Sennheiser	/N
Main Contact	Maximilian Strake	DEMAND: Diverse Environments Multichannel Acoustic Noise Database	/N
Main Contact	Maximilian Strake	QUT-Noise Database	/N
Main Contact	Maximilian Strake	Deep Noise Suppression (DNS) Challenge Datasets	/N

Documentation:

https://catalog.ldc.upenn.edu/docs/LDC93S6B/

Voxforge ,

Language Type:

Language Independent

Languages:

Availability:

License:

Interspeech2020 Expand/Collapse

Size:

None

Production Status:

Use:

Paper title:
Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict
Paper track:
9.10 Other topics in Speech Recognition -Architect/Oral Presentation
Paper status:
Accept - Oral

Author Number	Name	Affiliation	Country
Main Contact	Yosuke Higuchi	Wall Street Journal (WSJ)	/N
Main Contact	Yosuke Higuchi	CSJ	/N
Main Contact	Yosuke Higuchi	Voxforge	/N

Documentation:

None

CSJ ,

Language Type:

Language Independent

Languages:

Availability:

License:

Interspeech2020 Expand/Collapse

Size:

None

Production Status:

Use:

Paper title:
Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict
Paper track:
9.10 Other topics in Speech Recognition -Architect/Oral Presentation
Paper status:
Accept - Oral

Author Number	Name	Affiliation	Country
Main Contact	Yosuke Higuchi	Wall Street Journal (WSJ)	/N
Main Contact	Yosuke Higuchi	CSJ	/N
Main Contact	Yosuke Higuchi	Voxforge	/N

Documentation:

None

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LRE Map

Resource-Dataset

Resource-Tool

Resource-Guidelines

Evaluation

Other

4REAL

ACL

ACLHT

AREA

AsianLang

BioTxtM

BR-LRE

BUCC

CCURL

CIDTD

CMLC-2

CMLC-6

CNL

COLING

EMNLP

ES3LOD

FNP

Games4NLP

GLOBALEX

IJCNLP

IndustryTrack

Interspeech

IS

isa-10

ISINLP2

LB-IRL

LDL

LiNCR

LRE-Rel2

LREC

LRT4HDA

LTC

MMC

MomenT

MTE

MultilingualBIO

NAACL

O-COCOSDA

OCOCOSDA18

OSACT

OSACT3

ParlaCLARIN

RANLP

SaLTMiL

SignLanguage

SPLET

TA-COS

The International Conference on Language Resources and Evaluation

WILDRE