Alex Acero
- Artificial Intelligence top 0.05%
- Signal Processing top 0.02%
- Computer Vision and Pattern Recognition top 0.5%
- Information Systems top 0.5%
- Computational Mechanics top 1%
- Topics
- Speech Recognition and Synthesis (153 papers)Speech and Audio Processing (135 papers)Music and Audio Processing (94 papers)
- Journals
- IEEE Transactions on Signal ProcessingThe Journal of the Acoustical Society of AmericaIEEE Signal Processing Magazine
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Alex Acero
222 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Artificial Intelligence 7.9k
- Signal Processing 5.6k
- Computer Vision and Pattern Recognition 2.0k
- Information Systems 950
- Computational Mechanics 678
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 of co-authors of Alex Acero
This figure shows the co-authorship network connecting the top 25 collaborators of Alex Acero. A scholar is included among the top collaborators of Alex Acero based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alex Acero. Alex Acero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The MSR SYSTEM for IWSLT 2011 evaluation. | 3 |
| 2 | 3 | |
| 3 | Binary coding of speech spectrograms using a deep auto-encoderbreakdown → | 243 |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 26 | |
| 7 | 76 | |
| 8 | Suppression Rule for Speech Recognition Friendly Noise Suppressors | 2 |
| 9 | Statistical Spoken Language Understanding: from Generative Model to Conditional Model | 2 |
| 10 | 29 | |
| 11 | 75 | |
| 12 | Adaptation of Maximum Entropy Capitalizer: Little Data Can Help a Lo. | 78 |
| 13 | 93 | |
| 14 | 1 | |
| 15 | Log-Domain Speech Feature Enhancement Using Sequential MAP Noise Estimation and a Phase-sensitive Model of the Acoustic Environment | 8 |
| 16 | ALGONQUIN - Learning Dynamic Noise Models From Noisy Speech for Robust Speech Recognition | 14 |
| 17 | 17 | |
| 18 | Speech Denoising and Dereverberation Using Probabilistic Models | 63 |
| 19 | 18 | |
| 20 | A Robust HMM-Based Endpoint Detector for Telecommunication Applications | 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) and Music and Audio Processing (94 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.