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Found 44 papers, 10 papers with code
A study of parameters affecting visual saliency assessment
In this paper, a new framework is proposed to assess models of visual saliency.
The AV-LASYN Database : A synchronous corpus of audio and 3D facial marker data for audio-visual laughter synthesis
Since the aim is to use this database for HMM-based modeling and synthesis, the amount of collected data from one given subject had to be maximized.
AVAB-DBS: an Audio-Visual Affect Bursts Database for Synthesis
It has been shown that adding expressivity and emotional expressions to an agent{'}s communication systems would improve the interaction quality between this agent and a human user.
ASR-based Features for Emotion Recognition: A Transfer Learning Approach
During the last decade, the applications of signal processing have drastically improved with deep learning.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems
In this paper, we present a database of emotional speech intended to be open-sourced and used for synthesis and generation purpose.
Exploring Transfer Learning for Low Resource Emotional TTS
During the last few years, spoken language technologies have known a big improvement thanks to Deep Learning.
Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis
The field of Text-to-Speech has experienced huge improvements last years benefiting from deep learning techniques.
The Theory behind Controllable Expressive Speech Synthesis: a Cross-disciplinary Approach
Finally, we focus on the last one, with the last techniques modeling Text-to-Speech synthesis as a sequence-to-sequence problem.
Detection of Glottal Closure Instants from Speech Signals: a Quantitative Review
The five techniques compared are the Hilbert Envelope-based detection (HE), the Zero Frequency Resonator-based method (ZFR), the Dynamic Programming Phase Slope Algorithm (DYPSA), the Speech Event Detection using the Residual Excitation And a Mean-based Signal (SEDREAMS) and the Yet Another GCI Algorithm (YAGA).
A Comparative Study of Glottal Source Estimation Techniques
Techniques based on the mixed-phase decomposition and on a closed-phase inverse filtering process turn out to give the best results on both clean synthetic and real speech signals.
Glottal Closure and Opening Instant Detection from Speech Signals
This paper proposes a new procedure to detect Glottal Closure and Opening Instants (GCIs and GOIs) directly from speech waveforms.
A Deterministic plus Stochastic Model of the Residual Signal for Improved Parametric Speech Synthesis
For this, we hereby propose an adaptation of the Deterministic plus Stochastic Model (DSM) for the residual.
Complex Cepstrum-based Decomposition of Speech for Glottal Source Estimation
Homomorphic analysis is a well-known method for the separation of non-linearly combined signals.
The Deterministic plus Stochastic Model of the Residual Signal and its Applications
The applicability of the DSM in two fields of speech processing is then studied.
Causal-Anticausal Decomposition of Speech using Complex Cepstrum for Glottal Source Estimation
Via a systematic study of the windowing effects on the deconvolution quality, we show that the complex cepstrum causal-anticausal decomposition can be effectively used for glottal flow estimation when specific windowing criteria are met.
Using a Pitch-Synchronous Residual Codebook for Hybrid HMM/Frame Selection Speech Synthesis
The source signal is obtained by concatenating excitation frames picked up from the codebook, based on a selection criterion and taking target residual coefficients as input.
A Comparative Evaluation of Pitch Modification Techniques
This paper addresses the problem of pitch modification, as an important module for an efficient voice transformation system.
Eigenresiduals for improved Parametric Speech Synthesis
Statistical parametric speech synthesizers have recently shown their ability to produce natural-sounding and flexible voices.
On the Mutual Information between Source and Filter Contributions for Voice Pathology Detection
This paper addresses the problem of automatic detection of voice pathologies directly from the speech signal.
Excitation-based Voice Quality Analysis and Modification
This paper investigates the differences occuring in the excitation for different voice qualities.
Phase-based Information for Voice Pathology Detection
In most current approaches of speech processing, information is extracted from the magnitude spectrum.
Chirp Complex Cepstrum-based Decomposition for Asynchronous Glottal Analysis
It was recently shown that complex cepstrum can be effectively used for glottal flow estimation by separating the causal and anticausal components of speech.
Oscillating Statistical Moments for Speech Polarity Detection
An inversion of the speech polarity may have a dramatic detrimental effect on the performance of various techniques of speech processing.
Glottal Source Estimation using an Automatic Chirp Decomposition
In a previous work, we showed that the glottal source can be estimated from speech signals by computing the Zeros of the Z-Transform (ZZT).
Glottal source estimation robustness: A comparison of sensitivity of voice source estimation techniques
This paper addresses the problem of estimating the voice source directly from speech waveforms.
Parametric Representation for Singing Voice Synthesis: a Comparative Evaluation
Various parametric representations have been proposed to model the speech signal.
Analysis and Synthesis of Hypo and Hyperarticulated Speech
This paper focuses on the analysis and synthesis of hypo and hyperarticulated speech in the framework of HMM-based speech synthesis.
Laughter Synthesis: Combining Seq2seq modeling with Transfer Learning
Despite the growing interest for expressive speech synthesis, synthesis of nonverbal expressions is an under-explored area.
ICE-Talk: an Interface for a Controllable Expressive Talking Machine
ICE-Talk is an open source web-based GUI that allows the use of a TTS system with controllable parameters via a text field and a clickable 2D plot.
Analysis and Assessment of Controllability of an Expressive Deep Learning-based TTS system
In this paper, we study the controllability of an Expressive TTS system trained on a dataset for a continuous control.
Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity
The codes and dataset considered in this paper have been made available at \url{https://figshare. com/s/3e353bd1c621962888ad} to promote research in the field.
A Saliency based Feature Fusion Model for EEG Emotion Estimation
Among the different modalities to assess emotion, electroencephalogram (EEG), representing the electrical brain activity, achieved motivating results over the last decade.
Towards Lightweight Neural Animation : Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models
Their motion is synthesized by a neural network.
Spatio-Temporal Analysis of Transformer based Architecture for Attention Estimation from EEG
For many years now, understanding the brain mechanism has been a great research subject in many different fields.
Evaluating the Quality of a Synthesized Motion with the Fréchet Motion Distance
Evaluating the Quality of a Synthesized Motion with the Fr\'echet Motion Distance
Analysis of Co-Laughter Gesture Relationship on RGB videos in Dyadic Conversation Contex
Laughter is not just an audio signal, but an intrinsic relationship of multimodal non-verbal communication, in addition to audio, it includes facial expressions and body movements.
Transformers and CNNs both Beat Humans on SBIR
Sketch-based image retrieval (SBIR) is the task of retrieving natural images (photos) that match the semantics and the spatial configuration of hand-drawn sketch queries.
Cardiotocography Signal Abnormality Detection based on Deep Unsupervised Models
The GANomaly framework, modified to capture the underlying distribution of data samples, is used as our main model and is applied to the CTU-UHB dataset.
Synthesizer Preset Interpolation using Transformer Auto-Encoders
Sound synthesizers are widespread in modern music production but they increasingly require expert skills to be mastered.
Deep learning-based stereo camera multi-video synchronization
Stereo vision is essential for many applications.
A Recipe for Efficient SBIR Models: Combining Relative Triplet Loss with Batch Normalization and Knowledge Distillation
Then, we introduce a Relative Triplet Loss (RTL), an adapted triplet loss to overcome those limitations through loss weighting based on anchors similarity.
A New Perspective on Smiling and Laughter Detection: Intensity Levels Matter
We also present an in-depth analysis of the behavior of these models on the smiles and laughs intensity levels.
Analysis of Co-Laughter Gesture Relationship on RGB Videos in Dyadic Conversation Context
Laughter is not just an audio signal, but an intrinsic relationship of multimodal non-verbal communication, in addition to audio, it includes facial expressions and body movements.
Are There Any Body-movement Differences between Women and Men When They Laugh?
Women smile more than men although the expressiveness of women is not universally more across all facial actions.
