Kristin Precoda

1.1k citations
32 papers · 811 indexed · h-index 14
Topics
Speech and dialogue systems (17 papers)Speech Recognition and Synthesis (16 papers)Natural Language Processing Techniques (14 papers)

In The Last Decade

Kristin Precoda

30 papers receiving 733 citations

Peers

Kristin Precoda
Comparison fields: 5 of 70
  • Artificial Intelligence 446
  • Experimental and Cognitive Psychology 445
  • Physiology 379
  • Signal Processing 159
  • Speech and Hearing 115
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Countries citing papers authored by Kristin Precoda

Since Specialization
Citations

This map shows the geographic impact of Kristin Precoda'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 Kristin Precoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristin Precoda more than expected).

Fields of papers citing papers by Kristin Precoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kristin Precoda. 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 Kristin Precoda. The network helps show where Kristin Precoda may publish in the future.

Co-authorship network of co-authors of Kristin Precoda

This figure shows the co-authorship network connecting the top 25 collaborators of Kristin Precoda. A scholar is included among the top collaborators of Kristin Precoda 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 Kristin Precoda. Kristin Precoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 32
3 2
4
Detection of Agreement and Disagreement in Broadcast Conversations
16
5 18
6 5
7 9
8 15
9 8
10
The SRI EduSpeak System: Recognition and Pronunciation Scoring for Language Learning
48
11 10
12
A Fine-Grained Evaluation Method for Speech-to-Speech Machine Translation Using Concept Annotations
3
13 2
14 4
15
Listener Differences in Audio Compression Evaluations
4
16
Subjective Audio Testing Methodology and Human Performance Factors
0
17 5
18 220
19 25
20 5

About Kristin Precoda

Kristin Precoda is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing, having authored 32 papers that have together received 811 indexed citations. Recurring topics across this work include Speech and dialogue systems (17 papers), Speech Recognition and Synthesis (16 papers) and Natural Language Processing Techniques (14 papers). The work is most often cited by research in Experimental and Cognitive Psychology (445 citations), Speech and Hearing (115 citations) and Signal Processing (159 citations). Kristin Precoda has collaborated with scholars based in United States, Germany and Argentina. Frequent co-authors include Bruce R. Gerratt, Jody Kreiman, Gerald S. Berke, Horacio Franco, Victor Abrash, Harry Bratt, Ian Maddieson, Colleen Richey, Elizabeth Shriberg and David Huron. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Journal of Speech Language and Hearing Research.

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.

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