Michaela Socolof
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Linguistics and Language top 5%
- Linguistic Variation and Morphology
Papers in
-
- Natural Language Processing Techniques 3
- Speech and dialogue systems 2
- Speech Recognition and Synthesis 2
- Advanced Text Analysis Techniques 1
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- Neurobiology of Language and Bilingualism 1
- Co-authors
- Morgan Sonderegger (2 shared papers)Michael McAuliffe (2 shared papers)Michael Wagner (1 shared paper)Timothy J. O’Donnell (1 shared paper)Jackie Chi Kit Cheung (1 shared paper)Maria Polinsky (1 shared paper)Nancy Clarke (1 shared paper)Ellen Lau (1 shared paper)
- Journals
- Brain and Language (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)
- Partner nations
- CanadaUnited StatesGeorgia
In The Last Decade
Michaela Socolof
4 papers receiving 569 citations
Michaela Socolof's Hit Papers
Peers
Comparison fields: 5 of 41
- Signal Processing 259
- Linguistics and Language 80
- Experimental and Cognitive Psychology 206
- Artificial Intelligence 422
- Language and Linguistics 38
Countries citing papers authored by Michaela Socolof
This map shows the geographic impact of Michaela Socolof'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 Michaela Socolof with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Socolof more than expected).
Fields of papers citing papers by Michaela Socolof
This network shows the impact of papers produced by Michaela Socolof. 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 Michaela Socolof. The network helps show where Michaela Socolof may publish in the future.
Co-authors
The 9 scholars most cited alongside Michaela Socolof, 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 | Montreal Forced Aligner: Trainable Text-Speech Alignment Using Kaldi Hit paper breakdown → | 2017 | 610 |
| 2 | 2017 | 8 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 2 |
About Michaela Socolof
Michaela Socolof is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Infectious Diseases, having authored 4 papers that have together received 622 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Speech and dialogue systems (2 papers), Speech Recognition and Synthesis (2 papers), Language Development and Disorders (1 paper), Language, Metaphor, and Cognition (1 paper), Reading and Literacy Development (1 paper), Advanced Text Analysis Techniques (1 paper) and Neurobiology of Language and Bilingualism (1 paper). The work is most often cited by research in Signal Processing (259 citations), Linguistics and Language (80 citations), Experimental and Cognitive Psychology (206 citations), Artificial Intelligence (422 citations) and Language and Linguistics (38 citations). Michaela Socolof has collaborated with scholars based in Canada, United States and Georgia. Frequent co-authors include Morgan Sonderegger, Michael McAuliffe, Michael Wagner, Timothy J. O’Donnell, Michael Wagner, Jackie Chi Kit Cheung, Maria Polinsky, Nancy Clarke and Ellen Lau. Their work appears in journals such as Brain and Language and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
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.