Alex Acero
- Signal Processing top 0.02%
- Speech and Audio Processing 135
- Music and Audio Processing 94
- Artificial Intelligence top 0.05%
- Speech Recognition and Synthesis 153
- Natural Language Processing Techniques 48
- Speech and dialogue systems 41
- Topic Modeling 29
- Information Systems top 0.5%
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- Phonetics and Phonology Research 12
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- Advanced Adaptive Filtering Techniques 24
Alex Acero
222 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Signal Processing 5.6k
- Artificial Intelligence 7.9k
- Computer Vision and Pattern Recognition 2.0k
- Information Systems 950
- Experimental and Cognitive Psychology 433
Countries citing papers authored by Alex Acero
This map shows the geographic impact of Alex Acero'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 Alex Acero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Acero more than expected).
Fields of papers citing papers by Alex Acero
This network shows the impact of papers produced by Alex Acero. 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 Alex Acero. The network helps show where Alex Acero may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alex Acero, 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 | The MSR SYSTEM for IWSLT 2011 evaluation. | 2011 | 3 |
| 2 | 2011 | 3 | |
| 3 | Binary coding of speech spectrograms using a deep auto-encoderbreakdown → | 2010 | 243 |
| 4 | 2010 | 5 | |
| 5 | 2010 | 5 | |
| 6 | 2009 | 26 | |
| 7 | 2009 | 76 | |
| 8 | Suppression Rule for Speech Recognition Friendly Noise Suppressors | 2006 | 2 |
| 9 | Statistical Spoken Language Understanding: from Generative Model to Conditional Model | 2005 | 2 |
| 10 | 2005 | 29 | |
| 11 | 2005 | 75 | |
| 12 | Adaptation of Maximum Entropy Capitalizer: Little Data Can Help a Lo. | 2004 | 78 |
| 13 | 2004 | 93 | |
| 14 | 2004 | 1 | |
| 15 | Log-Domain Speech Feature Enhancement Using Sequential MAP Noise Estimation and a Phase-sensitive Model of the Acoustic Environment | 2002 | 8 |
| 16 | ALGONQUIN - Learning Dynamic Noise Models From Noisy Speech for Robust Speech Recognition | 2001 | 14 |
| 17 | 2001 | 17 | |
| 18 | Speech Denoising and Dereverberation Using Probabilistic Models | 2000 | 63 |
| 19 | 1998 | 18 | |
| 20 | A Robust HMM-Based Endpoint Detector for Telecommunication Applications | 1993 | 3 |
About Alex Acero
Alex Acero is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 233 papers that have together received 10.7k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (153 papers), Speech and Audio Processing (135 papers), Music and Audio Processing (94 papers), Natural Language Processing Techniques (48 papers), Speech and dialogue systems (41 papers), Topic Modeling (29 papers), Advanced Adaptive Filtering Techniques (24 papers) and Phonetics and Phonology Research (12 papers). The work is most often cited by research in Signal Processing (5.6k citations), Artificial Intelligence (7.9k citations) and Computer Vision and Pattern Recognition (2.0k citations). Alex Acero has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Li Deng, George E. Dahl, Dong Yu, Li Deng, Xuedong Huang, Jasha Droppo, Dong Yu, Hsiao-Wuen Hon, Ye‐Yi Wang and Xiaodong He. Their work appears in journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and IEEE Signal Processing Magazine.
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.