Michael W. Macon
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Physiology
- Co-authors
- Alexander KainJohan WoutersMark A. ClementsJan WoutersE.B. GeorgeJohn-Paul HosomRonald A. ColeEdward Kaiser
- Topics
- Speech Recognition and Synthesis (19 papers)Speech and Audio Processing (17 papers)Music and Audio Processing (11 papers)
- Journals
- The Journal of the Acoustical Society of AmericaIEEE Transactions on Speech and Audio ProcessingJournal of the Audio Engineering Society
- Partner nations
- United StatesCanada
In The Last Decade
Michael W. Macon
21 papers receiving 704 citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 713
- Signal Processing 637
- Computer Vision and Pattern Recognition 139
- Experimental and Cognitive Psychology 132
- Physiology 50
Countries citing papers authored by Michael W. Macon
This map shows the geographic impact of Michael W. Macon'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 Michael W. Macon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. Macon more than expected).
Fields of papers citing papers by Michael W. Macon
This network shows the impact of papers produced by Michael W. Macon. 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 Michael W. Macon. The network helps show where Michael W. Macon may publish in the future.
Co-authorship network of co-authors of Michael W. Macon
This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Macon. A scholar is included among the top collaborators of Michael W. Macon 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 Michael W. Macon. Michael W. Macon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 30 | |
| 3 | 17 | |
| 4 | 30 | |
| 5 | 8 | |
| 6 | 81 | |
| 7 | 4 | |
| 8 | Spectral voice conversion for text-to-speech synthesisbreakdown → | 380 |
| 9 | 39 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | Personalizing a speech synthesizer by voice adaptation. | 11 |
| 14 | Generalization and discrimination in tree-structured unit selection. | 11 |
| 15 | 8 | |
| 16 | 46 | |
| 17 | 108 | |
| 18 | 1 | |
| 19 | Concatenation-Based MIDI-to-Singing Voice Synthesis | 22 |
| 20 | 31 |
About Michael W. Macon
Michael W. Macon is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 24 papers that have together received 858 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (17 papers) and Music and Audio Processing (11 papers). The work is most often cited by research in Signal Processing (637 citations), Artificial Intelligence (713 citations) and Experimental and Cognitive Psychology (132 citations). Michael W. Macon has collaborated with scholars based in United States and Canada. Frequent co-authors include Alexander Kain, Johan Wouters, Mark A. Clements, Jan Wouters, E.B. George, John-Paul Hosom, Ronald A. Cole, Edward Kaiser, Yonghong Yan and Michael Cohen. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Speech and Audio Processing and Journal of the Audio Engineering Society.
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.