Ron Hoory

2.1k citations

43 papers · 1.3k · 1 hit paper · h-index 17

Impact in

Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
Experimental and Cognitive Psychology top 2%
- Emotion and Mood Recognition

Papers in

Artificial Intelligence 36
- Speech Recognition and Synthesis 33
- Speech and dialogue systems 9
- Natural Language Processing Techniques 9
- Topic Modeling 7
Signal Processing 26
- Speech and Audio Processing 22
- Music and Audio Processing 11

Co-authors: Aharon Satt (6 shared papers)A. S. Sorin (10 shared papers)Pauline Aalten (2 shared papers)Alexandra König (2 shared papers)Hagai Aronowitz (9 shared papers)Raul Castro Fernandez (9 shared papers)Bhuvana Ramabhadran (8 shared papers)David Carmel (2 shared papers)
Journals: Applied Soft Computing (1 paper)Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (1 paper)UvA-DARE (University of Amsterdam) (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (3 papers)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
Partner nations: Israel United States China

In The Last Decade

Ron Hoory

38 papers receiving 1.2k citations

Ron Hoory's Hit Papers

align trajectories log scale

Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms 2017 · 306 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2017 Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms

Peers

Countries citing papers authored by Ron Hoory

Since Specialization

Citations

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

Fields of papers citing papers by Ron Hoory

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ron Hoory, 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 Ron Hoory Line = papers co-authored together Ron Hoory links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms Aharon Satt, Shai Rozenberg, Ron Hoory Hit paper breakdown →	2017	306
2	Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring ·Alexandra König, Aharon Satt, A. S. Sorin, Ron Hoory, Orith Toledo‐Ronen, Alexandre Derreumaux, Valéria Manera, Frans R.J. Verhey, Pauline Aalten, Phillipe H. Robert, Renaud David	2015	284
3	Speech Emotion Recognition Using Self-Supervised Features ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Edmilson Morais, Ron Hoory, Weizhong Zhu, Itai Gat, Matheus Damasceno, Hagai Aronowitz	2022	88
4	Spoken document retrieval from call-center conversations Jonathan Mamou, David Carmel, Ron Hoory	2006	65
5	Speech-based automatic and robust detection of very early dementia Aharon Satt, Ron Hoory, Alexandra König, Pauline Aalten, Philippe Robert	2014	62
6	Prosody contour prediction with long short-term memory, bi-directional, deep recurrent neural networks Raul Castro Fernandez, Asaf Rendel, Bhuvana Ramabhadran, Ron Hoory	2014	60
7	Automatic analysis of call-center conversations UvA-DARE (University of Amsterdam) ·Gilad Mishne, David Carmel, Ron Hoory, Alexey Roytman, Aya Soffer	2005	53
8	Speaker Normalization for Self-Supervised Speech Emotion Recognition ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Itai Gat, Hagai Aronowitz, Weizhong Zhu, Edmilson Morais, Ron Hoory	2022	46
9	Speech reconstruction from mel frequency cepstral coefficients and pitch frequency Daniel Chazan, Ron Hoory, Gilad Cohen, Meir Zibulski	2002	42
10	Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems Yinghui Huang, Hong-Kwang Jeff Kuo, Samuel Thomas, Zvi Kons, Kartik Audhkhasi, Brian Kingsbury, Ron Hoory, Michael Picheny	2020	36
11	Using deep bidirectional recurrent neural networks for prosodic-target prediction in a unit-selection text-to-speech system Raul Castro Fernandez, Asaf Rendel, Bhuvana Ramabhadran, Ron Hoory	2015	28
12	New developments in voice biometrics for user authentication Hagai Aronowitz, Ron Hoory, Jason Pelecanos, D. Nahamoo	2011	27
13	F0 contour prediction with a deep belief network-Gaussian process hybrid model Raul Castro Fernandez, Asaf Rendel, Bhuvana Ramabhadran, Ron Hoory	2013	27
14	Multi-modal biometrics for mobile authentication Hagai Aronowitz, Min Li, Orith Toledo‐Ronen, Sivan Harary, Amir B. Geva, Shay Ben-David, Asaf Rendel, Ron Hoory, Nalini Ratha, Sharath Pankanti, D. Nahamoo	2014	26
15	Fusion of voice signal information for detection of mild laryngeal pathology Applied Soft Computing ·Evaldas Vaičiukynas, Antanas Verikas, Adas Gelžinis, Marija Bačauskienė, Zvi Kons, Aharon Satt, Ron Hoory	2014	18
16	High Quality Sinusoidal Modeling of Wideband Speech for the Purposes of Speech Synthesis and Modification Daniel Chazan, Ron Hoory, Ariel Sagi, Slava Shechtman, A. S. Sorin, Zhi Wei Shuang, R. Bakis	2006	17
17	Small footprint concatenative text-to-speech synthesis system using complex spectral envelope modeling Dan Chazan, Ron Hoory, Zvi Kons, Ariel Sagi, Slava Shechtman, A. S. Sorin	2005	16
18	Using continuous lexical embeddings to improve symbolic-prosody prediction in a text-to-speech front-end Asaf Rendel, Raul Castro Fernandez, Ron Hoory, Bhuvana Ramabhadran	2016	15
19	Efficient periodicity extraction based on sine-wave representation and its application to pitch determination of speech signals Dan Chazan, Meir Tzur, Ron Hoory, Gilad Cohen	2001	15
20	The ETSI extended distributed speech recognition (DSR) standards: server-side speech reconstruction Tenkasi V. Ramabadran, A. S. Sorin, M. A. McLaughlin, Daniel Chazan, David J. Pearce, Ron Hoory	2004	13

About Ron Hoory

Ron Hoory is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (33 papers), Speech and Audio Processing (22 papers), Music and Audio Processing (11 papers), Speech and dialogue systems (9 papers), Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers), Advanced Data Compression Techniques (6 papers) and Emotion and Mood Recognition (4 papers). The work is most often cited by research in Signal Processing (637 citations), Experimental and Cognitive Psychology (415 citations), Artificial Intelligence (769 citations), Psychiatry and Mental health (103 citations) and Computer Vision and Pattern Recognition (156 citations). Ron Hoory has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Aharon Satt, A. S. Sorin, Pauline Aalten, Alexandra König, Hagai Aronowitz, Raul Castro Fernandez, Bhuvana Ramabhadran, David Carmel, Orith Toledo‐Ronen and Frans R.J. Verhey. Their work appears in journals such as Applied Soft Computing, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, UvA-DARE (University of Amsterdam), ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Zenodo (CERN European Organization for Nuclear 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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