Papers by Karen Jones
Call My Net 2: A New Resource for Speaker Recognition (2020.lrec-1)
Copied to clipboard
| Challenge: | Call My Net 2 (CMN2) corpus features Tunisian Arabic conversations between friends and family . call recordings include speech in various realistic and natural acoustic settings, both noisy and non-noisy. |
| Approach: | They introduce the Call My Net 2 (CMN2) corpus, a new resource for speaker recognition featuring Tunisian Arabic conversations between friends and family. |
| Outcome: | The Call My Net 2 (CMN2) corpus contains data from over 400 Tunisian Arabic speakers . each speaker made 10 or more calls each lasting up to 10 minutes . |
The SAFE-T Corpus: A New Resource for Simulated Public Safety Communications (2020.lrec-1)
Copied to clipboard
| Challenge: | Linguistic Data Consortium developed the SAFE-T Corpus to support the NIST OpenSAT evaluation series. |
| Approach: | They introduce a new resource, the SAFE-T Corpus, designed to simulate first-responder communications by inducing high vocal effort and urgent speech with situational background noise. |
| Outcome: | The SAFE-T Corpus was developed to support the NIST OpenSAT (Speech Analytic Technologies) evaluation series. |
WeCanTalk: A New Multi-language, Multi-modal Resource for Speaker Recognition (2022.lrec-1)
Copied to clipboard
| Challenge: | The WeCanTalk corpus is a multi-modal, multi-language resource for speaker recognition. |
| Approach: | The WeCanTalk corpus is a multi-modal resource for speaker recognition. |
| Outcome: | The corpus contains data from 202 native speakers in Hong Kong who were fluent in at least one other language. |