Martin Graciarena
- Signal Processing top 0.5%
- Speech and Audio Processing 44
- Music and Audio Processing 35
- Artificial Intelligence top 1%
- Speech Recognition and Synthesis 46
- Hate Speech and Cyberbullying Detection 4
- Natural Language Processing Techniques 4
- Speech and dialogue systems 3
- Developmental Biology top 5%
- Social Psychology top 5%
- Deception detection and forensic psychology 6
-
- Advanced Data Compression Techniques 4
- Co-authors
- Horacio FrancoVikramjit MitraElizabeth ShribergAndreas StolckeLuciana FerrerYun LeiNicolas SchefferJulia Hirschberg
- Partner nations
- United StatesArgentinaGermany
In The Last Decade
Martin Graciarena
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 68
- Signal Processing 819
- Artificial Intelligence 999
- Developmental Biology 40
- Social Psychology 250
- Experimental and Cognitive Psychology 152
Countries citing papers authored by Martin Graciarena
This map shows the geographic impact of Martin Graciarena's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Graciarena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Graciarena more than expected).
Fields of papers citing papers by Martin Graciarena
This network shows the impact of papers produced by Martin Graciarena. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Graciarena. The network helps show where Martin Graciarena may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Graciarena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 5 | |
| 2 | Tampered Speaker Inconsistency Detection with Phonetically Aware Audio-visual Features | 2019 | 9 |
| 3 | 2018 | 56 | |
| 4 | Open Language Interface for Voice Exploitation (OLIVE). | 2016 | 2 |
| 5 | 2016 | 10 | |
| 6 | 2016 | 7 | |
| 7 | 2015 | 8 | |
| 8 | 2014 | 31 | |
| 9 | 2013 | 21 | |
| 10 | Effects of audio and ASR quality on cepstral and high-level speaker verification systems. | 2012 | 1 |
| 11 | 2011 | 27 | |
| 12 | 2008 | 33 | |
| 13 | 2007 | 12 | |
| 14 | 2006 | 40 | |
| 15 | 2006 | 54 | |
| 16 | 2005 | 105 | |
| 17 | 2005 | 3 | |
| 18 | Progress in Meeting Recognition: The ICSI-SRI-UW Spring 2004 Evaluation System | 2004 | 12 |
| 19 | 2004 | 8 | |
| 20 | 2004 | 3 |
About Martin Graciarena
Martin Graciarena is a scholar working on Signal Processing, Artificial Intelligence and Developmental Biology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (46 papers), Speech and Audio Processing (44 papers), Music and Audio Processing (35 papers), Deception detection and forensic psychology (6 papers), Hate Speech and Cyberbullying Detection (4 papers), Advanced Data Compression Techniques (4 papers), Natural Language Processing Techniques (4 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Signal Processing (819 citations), Artificial Intelligence (999 citations) and Developmental Biology (40 citations). Martin Graciarena has collaborated with scholars based in United States, Argentina and Germany. Frequent co-authors include Horacio Franco, Vikramjit Mitra, Elizabeth Shriberg, Andreas Stolcke, Luciana Ferrer, Yun Lei, Nicolas Scheffer, Julia Hirschberg, Frank Enos and Mitchell McLaren.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.