Gustav Eje Henter - Citegraph

Author Info

Name	Affiliation	Papers
GUSTAV EJE HENTER	Sound and Image Processing Laboratory, School of Electrical Engineering, KTH - Royal Institute of Technology, SE-100 44 Stockholm, Sweden	31
Collaborators	Citations	PageRank
52	37	11.40
Referers	Referees	References
121	365	191

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100365

Publications (31 rows)

Collaborators (52 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
A Large, Crowdsourced Evaluation of Gesture Generation Systems on Common Data: The GENEA Challenge 2020	1	0.35	2021
Full-Glow - Fully Conditional Glow for More Realistic Image Generation.	0	0.34	2021
Integrated Speech and Gesture Synthesis	0	0.34	2021
HEMVIP: Human Evaluation of Multiple Videos in Parallel	0	0.34	2021
Moving Fast And Slow: Analysis Of Representations And Post-Processing In Speech-Driven Automatic Gesture Generation	0	0.34	2021
Transflower: probabilistic autoregressive dance generation with multimodal attention	0	0.34	2021
Style-Controllable Speech-Driven Gesture Synthesis Using Normalising FlowsKeywords	3	0.38	2020
Gesticulator: A framework for semantically-aware speech-driven gesture generation	3	0.37	2020
Let's face it: Probabilistic multi-modal interlocutor-aware generation of facial gestures in dyadic settings	0	0.34	2020
Generating coherent spontaneous speech and gesture from text.	0	0.34	2020
Casting To Corpus: Segmenting And Selecting Spontaneous Dialogue For Tts With A Cnn-Lstm Speaker-Dependent Breath Detector	0	0.34	2019
Analyzing Input and Output Representations for Speech-Driven Gesture Generation.	0	0.34	2019
MoGlow: probabilistic and controllable motion synthesis using normalising flows	2	0.36	2019
Spontaneous Conversational Speech Synthesis from Found Data	0	0.34	2019
Off the Cuff - Exploring Extemporaneous Speech Delivery with TTS.	0	0.34	2019
On the Importance of Representations for Speech-Driven Gesture Generation	0	0.34	2019
Kernel Density Estimation-Based Markov Models with Hidden State	0	0.34	2018
Investigating different representations for modeling and controlling multiple emotions in DNN-based speech synthesis.	8	0.55	2018
Analysing Shortcomings of Statistical Parametric Speech Synthesis.	0	0.34	2018
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis.	3	0.40	2018
Principles For Learning Controllable Tts From Annotated And Latent Variation	4	0.45	2017
Misperceptions Of The Emotional Content Of Natural And Vocoded Speech In A Car	1	0.37	2017
Bayesian Analysis of Phoneme Confusion Matrices	1	0.37	2016
Minimum Entropy Rate Simplification of Stochastic Processes	0	0.34	2016
Testing the consistency assumption: Pronunciation variant forced alignment in read and spontaneous speech synthesis.	4	0.40	2016
Median-Based Generation Of Synthetic Speech Durations Using A Non-Parametric Approach	3	0.43	2016
Are We Using Enough Listeners? No! An Empirically-Supported Critique Of Interspeech 2014 Tts Evaluations	1	0.38	2015
Measuring the perceptual effects of modelling assumptions in speech synthesis using stimuli constructed from repeated natural speech.	0	0.34	2014
Picking up the pieces: Causal states in noisy data, and how to recover them	1	0.36	2013
Intermediate-State Hmms To Capture Continuously-Changing Signal Features	2	0.48	2011
Simplified probability models for generative tasks: A rate-distortion approach	0	0.34	2010