Gakuto Kurata

1.1k total citations
52 papers, 582 citations indexed

About

Gakuto Kurata is a scholar working on Artificial Intelligence, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, Gakuto Kurata has authored 52 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 22 papers in Signal Processing and 3 papers in Control and Systems Engineering. Recurrent topics in Gakuto Kurata's work include Speech Recognition and Synthesis (40 papers), Natural Language Processing Techniques (22 papers) and Speech and Audio Processing (16 papers). Gakuto Kurata is often cited by papers focused on Speech Recognition and Synthesis (40 papers), Natural Language Processing Techniques (22 papers) and Speech and Audio Processing (16 papers). Gakuto Kurata collaborates with scholars based in Japan, United States and India. Gakuto Kurata's co-authors include Bowen Zhou, Bing Xiang, Bhuvana Ramabhadran, Samuel Thomas, Takashi Fukuda, George Saon, Kartik Audhkhasi, Jia Cui, Mo Yu and Masafumi Nishimura and has published in prestigious journals such as Speech Communication, IEICE Transactions on Information and Systems and Interspeech 2022.

In The Last Decade

Gakuto Kurata

47 papers receiving 522 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gakuto Kurata Japan	12	484	185	102	38	21	52	582
Hayato Kobayashi Japan	12	257 0.5×	166 0.9×	105 1.0×	47 1.2×	13 0.6×	31	445
Chen Xie Italy	5	499 1.0×	421 2.3×	79 0.8×	14 0.4×	11 0.5×	13	581
Giovanni Flammia United States	10	280 0.6×	135 0.7×	50 0.5×	34 0.9×	26 1.2×	27	378
Mouldi Bedda Algeria	9	269 0.6×	127 0.7×	82 0.8×	49 1.3×	6 0.3×	44	388
Babak Nasersharif Iran	11	239 0.5×	196 1.1×	86 0.8×	11 0.3×	25 1.2×	64	374
Mirko Bronzi Italy	4	257 0.5×	276 1.5×	47 0.5×	52 1.4×	6 0.3×	8	417
Fuad M. Alkoot Kuwait	8	161 0.3×	81 0.4×	156 1.5×	39 1.0×	4 0.2×	21	329
V. Kamakshi Prasad India	10	163 0.3×	111 0.6×	98 1.0×	34 0.9×	16 0.8×	56	315
Samuele Cornell Italy	11	485 1.0×	588 3.2×	71 0.7×	11 0.3×	11 0.5×	43	730
C. Chandra Sekhar India	11	250 0.5×	218 1.2×	178 1.7×	9 0.2×	42 2.0×	66	448

Countries citing papers authored by Gakuto Kurata

Since Specialization

Citations

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

Fields of papers citing papers by Gakuto Kurata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gakuto Kurata

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

All Works

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20 of 20 papers shown

Nagano, Tohru, Gakuto Kurata, Samuel Thomas, et al.. (2025). LLM based Text Generation for Improved Low-resource Speech Recognition Models. 1–5. 1 indexed citations

Suzuki, Masayuki, et al.. (2024). Robust ASR Error Correction with Conservative Data Filtering. 256–266.

Suzuki, Masayuki, et al.. (2022). Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems. Interspeech 2022. 3919–3923. 11 indexed citations

Fukuda, Takashi, Samuel Thomas, Masayuki Suzuki, et al.. (2022). Global RNN Transducer Models For Multi-dialect Speech Recognition. Interspeech 2022. 3138–3142. 5 indexed citations

Fukuda, Takashi & Gakuto Kurata. (2021). Generalized Knowledge Distillation from an Ensemble of Specialized Teachers Leveraging Unsupervised Neural Clustering. 16. 6868–6872. 2 indexed citations

Kurata, Gakuto & George Saon. (2020). Knowledge Distillation from Offline to Streaming RNN Transducer for End-to-End Speech Recognition. 2117–2121. 28 indexed citations

Suzuki, Masayuki, et al.. (2020). Converting Written Language to Spoken Language with Neural Machine Translation for Language Modeling. 83. 8124–8128. 1 indexed citations

Nagano, Tohru, et al.. (2019). Data Augmentation Based on Vowel Stretch for Improving Children's Speech Recognition. 502–508. 6 indexed citations

Nagano, Tohru, et al.. (2018). Inference-Invariant Transformation of Batch Normalization for Domain Adaptation of Acoustic Models. 2893–2897. 1 indexed citations

10.

Fukuda, Takashi, et al.. (2017). Efficient Knowledge Distillation from an Ensemble of Teachers. 3697–3701. 149 indexed citations

11.

Kurata, Gakuto, Bing Xiang, & Bowen Zhou. (2016). Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence. 521–526. 74 indexed citations

12.

Kurata, Gakuto, Bing Xiang, & Bowen Zhou. (2016). Labeled Data Generation with Encoder-Decoder LSTM for Semantic Slot Filling. 725–729. 20 indexed citations

13.

Suzuki, Masayuki, Gakuto Kurata, Tohru Nagano, & Ryuki Tachibana. (2016). Speech recognition robust against speech overlapping in monaural recordings of telephone conversations. 5685–5689. 4 indexed citations

14.

Kurata, Gakuto, et al.. (2014). A METRIC FOR EVALUATING SPEECH RECOGNITION ACCURACY BASED ON HUMAN PERCEPTION. IEICE technical report. Speech. 114(11). 1–4. 1 indexed citations

15.

Kurata, Gakuto, et al.. (2011). Named entity recognition from Conversational Telephone Speech leveraging Word Confusion Networks for training and recognition. 5572–5575. 5 indexed citations

16.

Kurata, Gakuto, Osamu Ichikawa, & Masafumi Nishimura. (2009). Speech Input Method in Automobiles Reflecting Analysis on How Users Speak. 2009(2). 1–6. 1 indexed citations

17.

Kurata, Gakuto, Shinsuke Mori, & Masafumi Nishimura. (2006). Unsupervised Adaptation of a Stochastic Language Model Using a Japanese Raw Corpus. 1. I–1037. 5 indexed citations

18.

Kurata, Gakuto, Naoaki Okazaki, & Mitsuru Ishizuka. (2004). GDQA: Graph Driven Question Answering System - NTCIR-4 QAC2 Experiments.. NTCIR. 1 indexed citations

19.

Minematsu, Nobuaki, Gakuto Kurata, & Keikichi Hirose. (2002). Corpus-based analysis of English spoken by Japanese students in view of the entire phonemic system of English. 1213–1216. 4 indexed citations

20.

Minematsu, Nobuaki, Gakuto Kurata, & Keikichi Hirose. (2002). Integration of MLLR adaptation with pronunciation proficiency adaptation for non-native speech recognition. 529–532. 9 indexed citations

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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