Philip N. Garner

2.2k total citations
139 papers, 1.5k citations indexed

About

Philip N. Garner is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Philip N. Garner has authored 139 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Artificial Intelligence, 89 papers in Signal Processing and 19 papers in Experimental and Cognitive Psychology. Recurrent topics in Philip N. Garner's work include Speech Recognition and Synthesis (85 papers), Speech and Audio Processing (75 papers) and Music and Audio Processing (48 papers). Philip N. Garner is often cited by papers focused on Speech Recognition and Synthesis (85 papers), Speech and Audio Processing (75 papers) and Music and Audio Processing (48 papers). Philip N. Garner collaborates with scholars based in Switzerland, United Kingdom and Germany. Philip N. Garner's co-authors include Hervé Bourlard, Alexandros Lazaridis, John Dines, Petr Motlíček, David Imseng, Miloš Cerňak, Wendy Holmes, Lakshmi Babu Saheer, Afsaneh Asaei and John Holmes and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Leadership Quarterly.

In The Last Decade

Philip N. Garner

128 papers receiving 1.3k citations

Peers

Philip N. Garner

ECP

EEE

Michiel Bacchiani United States

Lin-shan Lee Taiwan

Kris Demuynck Belgium

Brian Mak Hong Kong

Guillaume Gravier France

Oliver Watts United Kingdom

Petr Motlíček Switzerland

Tetsunori Kobayashi Japan

Shigeki Karita Japan

Peter Bell United Kingdom

Michiel Bacchiani United States

Philip N. Garner

1.6k ×1.5

1.1k ×1.2

74 ×0.3

ECP

151 ×1.0

49 ×0.4

EEE

Citations per year, relative to Philip N. Garner Philip N. Garner (= 1×) peers Michiel Bacchiani

Countries citing papers authored by Philip N. Garner

Since Specialization

Citations

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

Fields of papers citing papers by Philip N. Garner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip N. Garner. 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 Philip N. Garner. The network helps show where Philip N. Garner may publish in the future.

Co-authorship network of co-authors of Philip N. Garner

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Haolin, et al.. (2023). The Idiap Speech Synthesis System for the Blizzard Challenge 2023. 93–97. 1 indexed citations

Jensen, Ulrich Thy, et al.. (2023). Combating COVID-19 with charisma: Evidence on governor speeches in the United States. The Leadership Quarterly. 34(6). 101702–101702. 12 indexed citations

Garner, Philip N., et al.. (2023). The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation. 4408–4423. 2 indexed citations

Bailly, Gérard, et al.. (2018). A Variational Prosody Model for the decomposition and synthesis of speech prosody.. arXiv (Cornell University). 2 indexed citations

Garner, Philip N., et al.. (2018). Fast Language Adaptation Using Phonological Information. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2459–2463. 6 indexed citations

Garner, Philip N., et al.. (2016). Emphasis recreation for TTS using intonation atoms. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 14–20. 4 indexed citations

Cerňak, Miloš, Alexandros Lazaridis, Afsaneh Asaei, & Philip N. Garner. (2016). Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding. IEEE/ACM Transactions on Audio Speech and Language Processing. 24(12). 2301–2312. 20 indexed citations

Garner, Philip N., et al.. (2015). A simple continuous excitation model for parametric vocoding. Microbiology Resource Announcements. 9(50). 4 indexed citations

Garner, Philip N. & John Mariani. (2015). Learning SQL in steps. SHILAP Revista de lepidopterología. 13(4). 19–24. 5 indexed citations

10.

Parhizkar, Reza, et al.. (2014). Ad hoc microphone array calibration: Euclidean distance matrix completion algorithm and theoretical guarantees. Signal Processing. 107. 123–140. 20 indexed citations

11.

Garner, Philip N., David Imseng, & Thomas Meyer. (2014). Automatic speech recognition and translation of a Swiss German dialect: Walliserdeutsch. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2118–2122. 7 indexed citations

12.

Cerňak, Miloš, Petr Motlíček, & Philip N. Garner. (2013). On the (Un)importance of the Contextual Factors In HMM-Based Speech Synthesis. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations

13.

Na, Xingyu & Philip N. Garner. (2013). Convolutional Pitch Target Approximation Model for Speech Synthesis. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations

14.

Saheer, Lakshmi Babu, John Dines, & Philip N. Garner. (2012). Vocal Tract Length Normalization for Statistical Parametric Speech Synthesis. IEEE Transactions on Audio Speech and Language Processing. 20(7). 2134–2148. 14 indexed citations

15.

Popescu-Belis, Andréi, et al.. (2011). A Just-in-Time Document Retrieval System for Dialogues or Monologues. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 350–352. 1 indexed citations

16.

Popescu-Belis, Andréi, et al.. (2011). A Speech-based Just-in-Time Retrieval System using Semantic Search. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 80–85. 6 indexed citations

17.

Kurimo, Mikko, Bill Byrne, John Dines, et al.. (2010). Personalising Speech-To-Speech Translation in the EMIME Project. ERA. 48–53. 15 indexed citations

18.

Wester, Mirjam, John Dines, Hui Liang, et al.. (2010). Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project. ERA. 192–197. 19 indexed citations

19.

Garner, Philip N.. (2009). A MAP Approach to Noise Compensation of Speech. Infoscience (Ecole Polytechnique Fédérale de Lausanne).

20.

Garner, Philip N., et al.. (2002). A theory of word frequencies and its application to dialogue move recognition. 3. 1880–1883. 6 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.

Explore authors with similar magnitude of impact