Details
| Original language | English |
|---|---|
| Title of host publication | 22nd Annual Conference of the International Speech Communication Association |
| Subtitle of host publication | INTERSPEECH 2021 |
| Pages | 2156-2158 |
| Number of pages | 3 |
| ISBN (electronic) | 9781713836902 |
| Publication status | Published - 2021 |
| Event | 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 - Brno, Czech Republic Duration: 30 Aug 2021 → 3 Sept 2021 |
Publication series
| Name | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
|---|---|
| Volume | 3 |
| ISSN (Print) | 2308-457X |
| ISSN (electronic) | 1990-9772 |
Abstract
Criminal investigations require manual intervention of several investigators and translators. However, the amount and the diversity of the data collected raises many challenges, and cross-border investigations against organized crime can quickly impossible to handle. We developed ROXANNE Research platform, an all-in-one platform which processes intercepted phone calls, runs state-of-the-art components such as speaker identification, automatic speech recognition or named entity detection, and builds a knowledge graph of the extracted information. Our aim for this work is to do a first step in the direction of an open research platform combining speech, text, and video processing algorithms with criminal network analysis for combating organized crime.
Keywords
- Criminal investigations, Platform, Speaker identification, Speech recognition
ASJC Scopus subject areas
- Arts and Humanities(all)
- Language and Linguistics
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Signal Processing
- Computer Science(all)
- Software
- Mathematics(all)
- Modelling and Simulation
Sustainable Development Goals
Cite this
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22nd Annual Conference of the International Speech Communication Association: INTERSPEECH 2021. 2021. p. 2156-2158 (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; Vol. 3).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - ROXANNE Research Platform
T2 - 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021
AU - Fabien, Maël
AU - Parida, Shantipriya
AU - Motlicek, Petr
AU - Zhu, Dawei
AU - Krishnan, Aravind
AU - Nguyen, Hoang H.
PY - 2021
Y1 - 2021
N2 - Criminal investigations require manual intervention of several investigators and translators. However, the amount and the diversity of the data collected raises many challenges, and cross-border investigations against organized crime can quickly impossible to handle. We developed ROXANNE Research platform, an all-in-one platform which processes intercepted phone calls, runs state-of-the-art components such as speaker identification, automatic speech recognition or named entity detection, and builds a knowledge graph of the extracted information. Our aim for this work is to do a first step in the direction of an open research platform combining speech, text, and video processing algorithms with criminal network analysis for combating organized crime.
AB - Criminal investigations require manual intervention of several investigators and translators. However, the amount and the diversity of the data collected raises many challenges, and cross-border investigations against organized crime can quickly impossible to handle. We developed ROXANNE Research platform, an all-in-one platform which processes intercepted phone calls, runs state-of-the-art components such as speaker identification, automatic speech recognition or named entity detection, and builds a knowledge graph of the extracted information. Our aim for this work is to do a first step in the direction of an open research platform combining speech, text, and video processing algorithms with criminal network analysis for combating organized crime.
KW - Criminal investigations
KW - Platform
KW - Speaker identification
KW - Speech recognition
UR - http://www.scopus.com/inward/record.url?scp=85119172311&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85119172311
T3 - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
SP - 2156
EP - 2158
BT - 22nd Annual Conference of the International Speech Communication Association
Y2 - 30 August 2021 through 3 September 2021
ER -