Kishore Prahallad

1.2k citations
54 papers · 811 indexed · h-index 13

Kishore Prahallad

52 papers receiving 692 citations

Peers

Kishore Prahallad
Comparison fields: 5 of 51
  • Signal Processing 556
  • Artificial Intelligence 735
  • Experimental and Cognitive Psychology 88
  • Computer Vision and Pattern Recognition 74
  • Human Factors and Ergonomics 6
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Countries citing papers authored by Kishore Prahallad

Since Specialization
Citations

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

Fields of papers citing papers by Kishore Prahallad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kishore Prahallad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kishore Prahallad Line = papers co-authored together Kishore Prahallad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Significance of Paralinguistic Cues in the Synthesis of Mathematical Equations
20141
2
IIIT-H System for MediaEval 2014 QUESST
20146
3 20141
4 20139
5
IIIT-H SWS 2013: Gaussian Posteriorgrams of Bottle-Neck Features for Query-by-Example Spoken Term Detection
20133
6
Significance of word-terminal syllables for prediction of phrase breaks in text-to-speech systems for Indian languages.
20139
7
Is word-to-phone mapping better than phone-phone mapping for handling English words?
20134
8
Duration modelling in voice conversion using artificial neural networks
20123
9 20127
10
SWS task: Articulatory Phonetic Units and Sliding DTW
20112
11 20114
12 20103
13
Learning speaker-specific phrase breaks for text-to-speech systems.
20108
14
Handling large audio files in audio books for building synthetic voices.
20105
15 201011
16 20082
17 200811
18
Text processing for text-to-speech systems in Indian languages.
200732
19
Building a better Indian English voice using "more data".
20073
20 20052

About Kishore Prahallad

Kishore Prahallad is a scholar working on Signal Processing, Artificial Intelligence and Human Factors and Ergonomics, having authored 54 papers that have together received 811 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (42 papers), Speech and Audio Processing (23 papers), Speech and dialogue systems (21 papers), Music and Audio Processing (21 papers), Natural Language Processing Techniques (18 papers), Topic Modeling (3 papers), Time Series Analysis and Forecasting (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Signal Processing (556 citations), Artificial Intelligence (735 citations) and Experimental and Cognitive Psychology (88 citations). Kishore Prahallad has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Alan W. Black, B. Yegnanarayana, Arthur R. Toth, Mohit Bansal, Sathish Pammi, Suryakanth V. Gangashetty, Vijayaditya Peddinti, Bajibabu Bollepalli, Sankaran Rajendran and Daniel J. Perry. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE/ACM Transactions on Audio Speech and Language Processing and Journal of Zhejiang University. Science A.

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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