Showing posts with label Noisy speech. Show all posts
Showing posts with label Noisy speech. Show all posts

Wednesday, November 15, 2023

LDC November 2023 Newsletter

Join LDC for Membership Year 2024 

Spring 2024 data scholarship application deadline

New publications:

REMIX Telephone Collection

News Sub-domain Named Entity Recognition

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Join LDC for Membership Year 2024 

It’s time to renew your LDC membership for 2024. Current (2023) members who renew their membership before March 1, 2024 will receive a 10% discount. New or returning organizations will receive a 5% discount if they join the Consortium by March 1.

In addition to receiving new publications, current LDC members enjoy the benefit of licensing older data from our Catalog of 940+ holdings at reduced fees. Current-year for-profit members may use most data for commercial applications.

Plans for 2024 publications are in progress. Among the expected releases are: 

  • KASET: 147 hours of Sorani Kurdish and Kurmanji Kurdish conversational telephone speech and web broadcasts, 65 hours transcribed 
  • AIDA topic source data and annotations: multimodal source data and annotations in multiple languages (Russian, Ukrainian, English, Spanish) for information and entity extraction 
  • RATS Low Speech Density Data: 87 hours of Levantine Arabic, English, Persian, Pushto, and Urdu audio files selected from RATS speech activity detection and keyword spotting data sets, also including communications systems sounds and silence
  • Call My Net 1: 364 hours of conversational telephone speech recordings in Tagalog, Cebuano, Cantonese and Mandarin from speakers in the Philippines and China using various handsets under diverse noise conditions 
  • Ravnursson Faroese Speech and Transcripts: 109 hours of read speech from 433 native speakers with transcripts 
  • Diaspora Tibetan Speech: elicited, read and spontaneous speech from 73 native Tibetan speakers in Katmandu’s diaspora Tibetan community, some recordings transcribed
  • IARPA MATERIAL language packs: conversational telephone speech, transcripts, English translations, annotations and queries in multiple languages (e.g., Bulgarian, Somali, Georgian)
  • LORELEI: representative and incident language packs containing monolingual text, bi-text, translations, annotations, supplemental resources and related tools in various languages (e.g., Farsi, Hungarian, Hindi, Amharic) 
For full descriptions of all LDC data sets, browse our Catalog. Visit Join LDC for details on membership, user accounts and payment.

Spring 2024 data scholarship application deadline

Applications are now being accepted through January 15, 2024 for the Spring 2024 LDC data scholarship program which provides university students with no-cost access to LDC data. Consult the LDC Data Scholarships page for more information about program rules and submission requirements.

New publications:
 
REMIX Telephone Collection was developed by LDC and contains 320 hours of English conversational telephone speech from 358 speakers who had completed all tasks in one of the previous LDC Mixer collections, specifically, Mixers 4-7. The data was collected in 2012; recordings in this corpus were used to support the NIST 2012 Speaker Recognition Evaluation. Speakers completed up to 12 calls lasting up to 10 minutes conversing on suggested topics. They were asked that half of the calls be made in a "noisy" environment, e.g., from a speakerphone, a busy street, noisy store or office, or a room with loud background noise. Speaker metadata is included. 

2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.

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News Sub-domain Named Entity Recognition was developed at the University of Pennsylvania and contains over 20,000 English news sentences annotated with named entities and categorized into sub-domains. The sentences were extracted from The New York Times Annotated Corpus (LDC2008T19). Named entity annotation was based on the CoNLL-2003 guidelines and annotation scheme. Sentences were labeled with person (PER), location (LOC) and organization (ORG) tags using phrase matching with a manual second pass. Sub-domains are: Arts (+Weekend/Cultural), Business (+Financial), Classifieds (+Obituary), Editorial, Foreign, Metropolitan, Sports and Others. "Others" includes topics such as Real Estate, New Jersey Weekly, Book Review, Job Market, Science, and Health & Fitness.

2023 members can access this corpus through their LDC accounts provided they have submitted a signed copy of the special license agreement. Non-members may license this data for a fee.

Friday, December 15, 2017

LDC December 2017 Newsletter

Spring 2018 LDC Data Scholarship Program - deadline approaching

Lingo Boingo: a web portal to language games

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Spring 2018 LDC Data Scholarship Program - deadline approaching
Students can apply for the Spring 2018 Data Scholarship Program now through January 15, 2018. The LDC Data Scholarship program provides students with access to LDC data at no cost. For more information on application requirements and program rules, please visit LDC Data Scholarships. 

Lingo Boingo: a web portal to language games
LDC is pleased to announce a new collaborative project, Lingo Boingo (https://lingoboingo.org/), a web portal that brings together new and existing language games that are fun to play and that provide useful annotations and judgments for linguistic research. Gamers and grammar lovers can choose from a list of challenging games, which will continue to expand through the efforts of LDC and external collaborators. For more information, contact jfiumara@ldc.upenn.edu. Start playing today!

Renew your LDC membership today
Membership Year 2018 (MY2018) is open for joining and discounts are available for those who keep their membership current and join early in the year. Now through March 1, 2018, current MY2017 members who renew before March 1, will receive a 10% discount off of the membership fee. New or returning organizations will receive a 5% discount through March 1. 

In addition to receiving new publications, current year LDC members also enjoy the benefit of licensing older data at reduced costs from our Catalog of over 700 holdings; current year for-profit members may use most data for commercial applications. Visit Join LDC for details on membership, user accounts and payment.

Plans for MY2018 publications are in progress. Among the expected releases are:
  • Multilanguage conversational telephone speech: developed to support language identification research in related languages (Central Asian, Central European language groups)
  • DIRHA (Distant-speech Interaction for Robust Home Applications):  Wall Street Journal read speech with noise and reverberation, suitable for various multi-microphone signal processing and distant speech recognition tasks
  • TRAD corpora: Chinese-French and Arabic-French parallel text (newswire, web data)
  • IARPA Babel Language Packs (telephone speech and transcripts): languages include Cebuano, Guarani, Kazakh, Lithuanian, Telugu, Tok Pisin
  • BOLT: discussion forum, SMS, word-aligned, and tagged data in all languages (Egyptian Arabic, English, Chinese)
  • DEFT: Spanish Treebank (newswire, web data)
  • RATS:  Language Identification data set (Dari, Farsi, Levantine Arabic, Pashto, Urdu; degraded audio signals)
  • TAC KBP: comprehensive English source and entity linked data (broadcast, telephone speech, newswire, web data)
  • German children’s handwriting: longitudinal study of weekly writing in classroom setting with enhanced output for specific spelling patterns

New publications:

(1) CHiME3 was developed as part of The 3rd CHiME Speech Separation and Recognition Challenge and contains approximately 342 hours of English speech and transcripts from noisy environments and 50 hours of noisy environment audio. The CHiME Challenges focus on distant-microphone automatic speech recognition (ASR) in real-world environments. CHiME3 involved two types of data: speech data recorded in very noisy environments (on a bus, in a cafe, pedestrian area, and street junction) and noisy utterances generated by artificially mixing clean speech data with noisy backgrounds.

Data is divided into training, development and test sets. All data is provided as 16 bit WAV files sampled at 16 kHz. The audio data consists of the background noises, enhanced speech data using the baseline speech enhancement technique, unsegmented noisy speech data, and segmented noisy speech data.

LDC has also released two CHiME2 corpora -- CHiME2 Grid and CHiME2 WSJ0.

CHiME3 is distributed via USB drive.

2017 Subscription Members will receive copies of this corpus. 2017 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.
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(2) GALE Phase 4 Chinese Broadcast News Speech was developed by LDC and is comprised of approximately 134 hours of Mandarin Chinese broadcast news speech collected in 2008 by LDC and Hong University of Science and Technology (HKUST), Hong Kong, during Phase 4 of the DARPA GALE (Global Autonomous Language Exploitation) Program.

Corresponding audio data is released as GALE Phase 4 Chinese Broadcast News Transcripts (LDC2017T18).

The broadcast news recordings in this release feature news broadcasts focusing principally on current events from the following sources: China Central TV (CCTV), a national and international broadcaster in Mainland China; Phoenix TV, a Hong Kong-based satellite television station; and Voice of America (VOA), a U.S. government-funded broadcast programmer.

This release contains 256 audio files presented in FLAC-compressed Waveform Audio File format (.flac), 16000 Hz single-channel 16-bit PCM. Each file was audited by a native Chinese speaker following Audit Procedure Specification Version 2.0 which is included in this release.

GALE Phase 4 Chinese Broadcast News Speech is distributed via web download.

2017 Subscription Members will receive copies of this corpus. 2017 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee. 
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(3) GALE Phase 4 Chinese Broadcast News Transcripts was developed by LDC and contains transcriptions of approximately 134 hours of Chinese broadcast news speech collected in 2008 by LDC and Hong University of Science and Technology (HKUST), Hong Kong, during Phase 4 of the DARPA GALE (Global Autonomous Language Exploitation) Program.

Corresponding audio data is released as GALE Phase 4 Chinese Broadcast News Speech (LDC2017S25).

The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 1,696,879 tokens. The transcripts were created with the LDC tool, XTrans, which supports manual transcription and annotation of audio recordings.

GALE Phase 4 Chinese Broadcast News Transcripts is distributed via web download.

2017 Subscription Members will receive copies of this corpus. 2017 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.