Cassia Valentini-Botinhao

1.8k total citations · 1 hit paper
50 papers, 1.1k citations indexed

About

Cassia Valentini-Botinhao is a scholar working on Signal Processing, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Cassia Valentini-Botinhao has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Signal Processing, 39 papers in Artificial Intelligence and 17 papers in Cognitive Neuroscience. Recurrent topics in Cassia Valentini-Botinhao's work include Speech and Audio Processing (39 papers), Speech Recognition and Synthesis (38 papers) and Music and Audio Processing (17 papers). Cassia Valentini-Botinhao is often cited by papers focused on Speech and Audio Processing (39 papers), Speech Recognition and Synthesis (38 papers) and Music and Audio Processing (17 papers). Cassia Valentini-Botinhao collaborates with scholars based in United Kingdom, Japan and Spain. Cassia Valentini-Botinhao's co-authors include Junichi Yamagishi, Simon King, Xin Wang, Shinji Takaki, Oliver Watts, Zhizheng Wu, Martin Cooke, Catherine Mayo, Yan Tang and Yannis Stylianou and has published in prestigious journals such as Speech Communication, Computer Speech & Language and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Cassia Valentini-Botinhao

50 papers receiving 1.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Investigating RNN-based speech enhancement methods for noise-robust Text-to-Speech

2016 274 citations Cassia Valentini-Botinhao, Xin Wang et al. Edinburgh Research Explorer (University of Edinburgh) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cassia Valentini-Botinhao United Kingdom	17	941	767	251	178	99	50	1.1k
Masato Akagi Japan	20	1.0k 1.1×	661 0.9×	282 1.1×	230 1.3×	501 5.1×	190	1.4k
Christophe Veaux France	13	791 0.8×	753 1.0×	126 0.5×	107 0.6×	105 1.1×	35	1.1k
Jean-Claude Junqua United States	12	779 0.8×	717 0.9×	197 0.8×	86 0.5×	239 2.4×	45	1.1k
Soundararajan Srinivasan United States	12	566 0.6×	332 0.4×	151 0.6×	158 0.9×	26 0.3×	24	690
Rahim Saeidi Finland	21	1.1k 1.2×	848 1.1×	81 0.3×	234 1.3×	72 0.7×	65	1.2k
Jörn Anemüller Germany	17	750 0.8×	225 0.3×	410 1.6×	196 1.1×	49 0.5×	45	934
Roland Maas Germany	15	873 0.9×	603 0.8×	145 0.6×	301 1.7×	33 0.3×	39	1.0k
Xu Shao United Kingdom	8	867 0.9×	379 0.5×	156 0.6×	154 0.9×	65 0.7×	27	952
João Felipe Santos Canada	12	427 0.5×	278 0.4×	250 1.0×	78 0.4×	101 1.0×	29	673
Stefan Goetze Germany	18	661 0.7×	236 0.3×	165 0.7×	215 1.2×	22 0.2×	85	766

Countries citing papers authored by Cassia Valentini-Botinhao

Since Specialization

Citations

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

Fields of papers citing papers by Cassia Valentini-Botinhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cassia Valentini-Botinhao. 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 Cassia Valentini-Botinhao. The network helps show where Cassia Valentini-Botinhao may publish in the future.

Co-authorship network of co-authors of Cassia Valentini-Botinhao

This figure shows the co-authorship network connecting the top 25 collaborators of Cassia Valentini-Botinhao. A scholar is included among the top collaborators of Cassia Valentini-Botinhao 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 Cassia Valentini-Botinhao. Cassia Valentini-Botinhao 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

Cooper, Erica, Eric Joanis, Roland Kühn, et al.. (2024). Speech Generation for Indigenous Language Education. Computer Speech & Language. 90. 101723–101723. 1 indexed citations

Valentini-Botinhao, Cassia, et al.. (2023). Efficient Intelligibility Evaluation Using Keyword Spotting: A Study on Audio-Visual Speech Enhancement. Edinburgh Research Explorer (University of Edinburgh). 1–5. 3 indexed citations

Valentini-Botinhao, Cassia, et al.. (2023). Autovocoder: Fast Waveform Generation from a Learned Speech Representation Using Differentiable Digital Signal Processing. Edinburgh Research Explorer (University of Edinburgh). 1–5. 7 indexed citations

Valentini-Botinhao, Cassia, Junichi Yamagishi, & Simon King. (2023). INTELLIGIBILITY ENHANCEMENT OF SPEECH IN NOISE. Edinburgh Research Explorer (University of Edinburgh). 1 indexed citations

Rennies, Jan, Henning Schepker, Cassia Valentini-Botinhao, & Martin Cooke. (2020). Intelligibility-Enhancing Speech Modifications — The Hurricane Challenge 2.0. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1341–1345. 28 indexed citations

Watts, Oliver, Cassia Valentini-Botinhao, & Simon King. (2019). Speech Waveform Reconstruction Using Convolutional Neural Networks with Noise and Periodic Inputs. Edinburgh Research Explorer (University of Edinburgh). 51. 7045–7049. 5 indexed citations

Valentini-Botinhao, Cassia, Xin Wang, Shinji Takaki, & Junichi Yamagishi. (2016). Investigating RNN-based speech enhancement methods for noise-robust Text-to-Speech. Edinburgh Research Explorer (University of Edinburgh). 146–152. 274 indexed citations breakdown →

Richmond, Korin, Cassia Valentini-Botinhao, Gustav Eje Henter, et al.. (2016). Testing the consistency assumption: Pronunciation variant forced alignment in read and spontaneous speech synthesis. Edinburgh Research Explorer (University of Edinburgh). 33. 5155–5159. 8 indexed citations

Stan, Adriana, et al.. (2016). Blind speech segmentation using spectrogram image-based features and Mel cepstral coefficients. Edinburgh Research Explorer. 597–602. 5 indexed citations

10.

Valentini-Botinhao, Cassia, Xin Wang, Shinji Takaki, & Junichi Yamagishi. (2016). Speech Enhancement for a Noise-Robust Text-to-Speech Synthesis System Using Deep Recurrent Neural Networks. Edinburgh Research Explorer (University of Edinburgh). 352–356. 71 indexed citations

11.

Uría, Benigno, Iain Murray, Steve Renals, Cassia Valentini-Botinhao, & John S. Bridle. (2015). Modelling acoustic feature dependencies with artificial neural networks: Trajectory-RNADE. Edinburgh Research Explorer (University of Edinburgh). 15. 4465–4469. 11 indexed citations

12.

Stan, Adriana, et al.. (2015). Phonetic segmentation of speech using STEP and t-SNE. 82. 1–6. 2 indexed citations

13.

Chen, Ling-Hui, Tuomo Raitio, Cassia Valentini-Botinhao, Junichi Yamagishi, & Zhen-Hua Ling. (2014). DNN-based stochastic postfilter for HMM-based speech synthesis. Edinburgh Research Explorer (University of Edinburgh). 1954–1958. 21 indexed citations

14.

Valentini-Botinhao, Cassia & Mirjam Wester. (2014). Using linguistic predictability and the lombard effect to increase the intelligibility of synthetic speech in noise. Edinburgh Research Explorer (University of Edinburgh). 2063–2067. 1 indexed citations

15.

Valentini-Botinhao, Cassia, Mirjam Wester, Junichi Yamagishi, & Simon King. (2013). Using neighbourhood density and selective SNR boosting to increase the intelligibility of synthetic speech in noise. Edinburgh Research Explorer (University of Edinburgh). 113–118. 3 indexed citations

16.

Cooke, Martin, Catherine Mayo, & Cassia Valentini-Botinhao. (2013). Intelligibility-enhancing speech modifications: the hurricane challenge. Edinburgh Research Explorer (University of Edinburgh). 3552–3556. 38 indexed citations

17.

Cooke, Martin, Catherine Mayo, & Cassia Valentini-Botinhao. (2013). Hurricane natural speech corpus. 12 indexed citations

18.

Valentini-Botinhao, Cassia, Elizabeth Godoy, Yannis Stylianou, et al.. (2013). Improving intelligibility in noise of HMM-generated speech via noise-dependent and -independent methods. Edinburgh Research Explorer (University of Edinburgh). 10. 7854–7858. 6 indexed citations

19.

King, Simon, Junichi Yamagishi, & Cassia Valentini-Botinhao. (2012). Evaluating speech intelligibility enhancement for HMM-based synthetic speech in noise. Edinburgh Research Explorer. 22–27. 6 indexed citations

20.

Valentini-Botinhao, Cassia, Junichi Yamagishi, & Simon King. (2011). Can objective measures predict the intelligibility of modified HMM-based synthetic speech in noise?. Edinburgh Research Explorer (University of Edinburgh). 1837–1840. 30 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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