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Effect of endogenous microbiota on the molecular composition of cloud water: a study by Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS)

Angelica Bianco, Laurent Deguillaume, Nadine Chaumerliac, Mickaël Vaïtilingom, Miao Wang, Anne-Marie Delort, Maxime C. Bridoux
2019 Scientific Reports  
in the molecular organic composition of this sample was analyzed by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS).  ...  A cloud water sample collected at the puy de Dôme observatory (PUY) has been incubated under dark conditions, with its endogenous microbiota at two different temperatures (5 and 15 °C), and the change  ...  Financial support from the National FT-ICR network (FR 3624 CNRS) for conducting the research is gratefully acknowledged.  ... 
doi:10.1038/s41598-019-44149-8 pmid:31113999 pmcid:PMC6529453 fatcat:6fwd6zxnfbakdn7ptw7mzsh4qq

Minimum Kullback–Leibler Divergence Parameter Generation for HMM-Based Speech Synthesis

Zhen-Hua Ling, Li-Rong Dai
2012 IEEE Transactions on Audio, Speech, and Language Processing  
This paper presents a parameter generation method for hidden Markov model (HMM)-based statistical parametric speech synthesis that uses a similarity measure for probability distributions.  ...  Index Terms-Hidden Markov model (HMM), Kullback-Leibler (KL) divergence, parameter generation, speech synthesis.  ...  the KLD FT method is able to alleviate the over-smoothing problem of MOPPG while preserving the temporal continuity of the generated feature trajectories.  ... 
doi:10.1109/tasl.2011.2182511 fatcat:tkdxiq2iv5cxbbffxhpolbf4jm

Modulation spectrum-constrained trajectory training algorithm for GMM-based Voice Conversion

Shinnosuke Takamichi, Tomoki Toda, Alan W. Black, Satoshi Nakamura
2015 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
and conversion and 2) to compensate a Modulation Spectrum (MS) of the converted parameter trajectory as a feature sensitively correlated with over-smoothing effects causing quality degradation of the  ...  This paper presents a novel training algorithm for Gaussian Mixture Model (GMM)-based Voice Conversion (VC).  ...  [12] proposed the trajectory training method for Hidden Markov Model (HMM)-based speech synthesis [13] by imposing the constraint between the static and dynamic features in synthesis on the training  ... 
doi:10.1109/icassp.2015.7178894 dblp:conf/icassp/TakamichiTBN15a fatcat:uy7636uemnedlibzs3zfkhp5ti

Parameter generation algorithm considering Modulation Spectrum for HMM-based speech synthesis

Shinnosuke Takamichi, Tomoki Toda, Alan W. Black, Satoshi Nakamura
2015 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
This paper proposes a novel parameter generation algorithm for high-quality speech generation in Hidden Markov Model (HMM)based speech synthesis.  ...  Global Variance (GV) is known as a feature well correlated with the over-smoothing effect and a metric on the GV of the generated parameters is effectively used as a penalty term in the conventional parameter  ...  ., spectral and excitation features and HMM-state duration are simultaneously modeled with context-dependent HMMs in a unified framework [2] .  ... 
doi:10.1109/icassp.2015.7178764 dblp:conf/icassp/TakamichiTBN15 fatcat:up7kn7aqbvhbvjr5swrnawapxy

Large Scale GPS Trajectory Generation Using Map Based on Two Stage GAN

Xingrui Wang, Xinyu Liu, Ziteng Lu, Hanfang Yang
2021 Journal of Data Science  
Experiments on realworld data are conducted to prove the effectiveness of our model in preserving geographical features and hidden mobility patterns.  ...  Considering the trajectory's geographical and sequential features, we propose a map-based Two-Stage GAN method (TSG) to tackle the challenges above and generate fine-grained and plausible large-scale trajectories  ...  Benchmark • FTS-IP (Li et al., 2018) : This model proposed a feature-preserving method to decompose and generate a new trajectory.  ... 
doi:10.6339/21-jds1004 fatcat:dvii7l72uvcyrhcohbji6j3k7y

Study on Quality Improvement of HMM-Based Synthesized Voices Using Asymmetric Bilinear Model

Tuan Dinh-Anh, Daisuke Morikawa, Masato Akagi
2016 Journal of Signal Processing  
Improving naturalness is a critical problem of HMM-based speech synthesis. One solution is to use voice conversion techniques to convert over-smoothed spectra to natural spectra.  ...  Moreover, modified rhyme test (MRT) showed that the intelligibility of synthesized speech was well preserved with our method.  ...  Acknowledgment This study was supported by the Grant-in-Aid for Scientific Research (A) (No. 25240026) and the A3 Foresight Program made available by the Japan Society for the Promotion of Science (JSPS  ... 
doi:10.2299/jsp.20.205 fatcat:ovzpehg6kfa5joornc6jd6aq3m

Monocular Neural Image Based Rendering with Continuous View Control [article]

Xu Chen, Jie Song, Otmar Hilliges
2019 arXiv   pre-print
Our network furthermore predicts a per-pixel mask, used to fuse depth-guided and pixel-based predictions. The resulting images reflect the desired 6-DOF transformation and details are preserved.  ...  Our main contribution is a network architecture that leverages a transforming auto-encoder in combination with a depth-guided warping procedure to predict geometrically accurate unseen views.  ...  We contrast T-AE based feature transformation (FT) with direct concatenation of latent code to the view transform (CAT).  ... 
arXiv:1901.01880v2 fatcat:vr4lbrn66be5jjha656dwb6aia

A comparative study of estimating articulatory movements from phoneme sequences and acoustic features [article]

Abhayjeet Singh, Aravind Illa, Prasanta Kumar Ghosh
2020 arXiv   pre-print
At the first step, we pool the training data from all the subjects and train a generic model to learn the mapping from input features to the target articulatory trajectories.  ...  Works in [18, 19] reported a significant drop in phonological feature based performance compared to that using acoustic features (AAI model).  ... 
arXiv:1910.14375v2 fatcat:rz5r5hrk7vfy3hkcu2w5glvtfq

Studying the variability of handwriting patterns using the Kinematic Theory

M. Djioua, R. Plamondon
2009 Human Movement Science  
From a fiducial action plan decoded by this model, a wide range of handwriting distortions are artificially generated by acting on the Sigma-Lognormal parameters.  ...  The resulting patterns are studied to understand scale changes and rotational deformations, the two basic features that a recognizer has to take into account.  ...  ., the time scale is preserved. Fig. 3 . 3 Global effects, both in the trajectory and the velocity spaces, of a 35°increase in the direction parameters ðh di ; h fi Þ.  ... 
doi:10.1016/j.humov.2009.01.005 pmid:19328575 fatcat:er7cb2buyjewliirf5diq6lrwq

When Video Classification Meets Incremental Classes [article]

Hanbin Zhao, Xin Qin, Shihao Su, Yongjian Fu, Zibo Lin, Xi Li
2021 arXiv   pre-print
First, we decompose the spatio-temporal knowledge before distillation rather than treating it as a whole in the knowledge transfer process; trajectory is also used to refine the decomposition.  ...  Second, we propose a dual granularity exemplar selection method to select and store representative video instances of old classes and key-frames inside videos under a tight storage budget.  ...  PODNet [9] utilizes a spatial-based distillation loss to restrict the change of model. TPCIL [42] makes the model preserve the topology of CNN's feature space.  ... 
arXiv:2106.15827v2 fatcat:3tbdfhcehjcabnqkqrtl3wcxbu

Graph Neural Networks in Network Neuroscience [article]

Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
2021 arXiv   pre-print
We conclude by charting a path toward a better application of GNN models in network neuroscience field for neurological disorder diagnosis and population graph integration.  ...  Here we review current GNN-based methods, highlighting the ways that they have been used in several applications related to brain graphs such as missing brain graph synthesis and disease classification  ...  Ultimately, all these models overlook the synthesis of multiple trajectories representing brain graphs derived from different modalities.  ... 
arXiv:2106.03535v1 fatcat:jx7ixd7xjngthaq6qhb25gssm4

Phoneme-to-Articulatory Mapping Using Bidirectional Gated RNN

Théo Biasutto-Lervat, Slim Ouni
2018 Interspeech 2018  
We trained these models with an EMA corpus, and have obtained good performances similar to the state-of-theart articulatory inversion from LSF features, but using only the phoneme labels and durations.  ...  trajectories.  ...  For LSTM, H is defined by ft = σ(W f .[ht−1, xt] + b f ) it = σ(Wi.[ht−1, xt] + bi) ot = σ(Wo.[ht−1, xt] + bo) Ct = ft * Ct − 1 + it * tanh(WC .  ... 
doi:10.21437/interspeech.2018-1202 dblp:conf/interspeech/Biasutto-Lervat18 fatcat:anxzcopwdrbzfkd5gxtbnmaa3y

Render In-between: Motion Guided Video Synthesis for Action Interpolation [article]

Hsuan-I Ho, Xu Chen, Jie Song, Otmar Hilliges
2021 arXiv   pre-print
A novel motion model is trained to inference the non-linear skeletal motion between frames by leveraging a large-scale motion-capture dataset (AMASS).  ...  We propose to address these issues in a motion-guided frame-upsampling framework that is capable of producing realistic human motion and appearance.  ...  Finally, a neural rendering model generates a sequence of foreground human bodies corresponding to the 2D joint trajectories.  ... 
arXiv:2111.01029v1 fatcat:gy5l2opsffd4xk5nczxtibjy4y

SOINN-Based Abnormal Trajectory Detection for Efficient Video Condensation

Chin-Shyurng Fahn, Chang-Yi Kao, Meng-Luen Wu, Hao-En Chueh
2022 Computer systems science and engineering  
As the trajectory feature is the key to both goals, in this paper, a new method for feature extraction of moving object trajectory is proposed, and we use the SOINN (Self-Organizing Incremental Neural  ...  the moving trajectory and sort them by the degree of anomaly.  ...  Each trajectory point consists of a feature vector as expressed as follows.  ... 
doi:10.32604/csse.2022.022368 fatcat:xj3od332bng2jlrr6sa4qkutna

Directional Locomotion of C. elegans in the Absence of External Stimuli

Margherita Peliti, John S. Chuang, Shai Shaham, Jill C. Bettinger
2013 PLoS ONE  
Furthermore, we find that such trajectories cannot be accounted for by simple random, isotropic models of animal locomotion.  ...  We find that a sizeable fraction of the observed trajectories display directed motion over tens of minutes.  ...  Acknowledgments We thank Francis Corson for suggesting to us the 'mirror' null model, Max Heiman and David Jordan for technical advice, Yun Lu for electron microscopy, Sharon White for media preparation  ... 
doi:10.1371/journal.pone.0078535 pmid:24223821 pmcid:PMC3818405 fatcat:txj6g4rvyvdevlxjzdh7bqdclq
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