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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)
2019
Scientific Reports
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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
2012
IEEE Transactions on Audio, Speech, and Language Processing
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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
2015
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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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
2015
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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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
2021
Journal of Data Science
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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
2016
Journal of Signal Processing
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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]
2019
arXiv
pre-print
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2019 pre-print arXiv:1901.01880v1 fatcat:g3pmbq3zgzhhrkd6awu3ve337e
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]
2020
arXiv
pre-print
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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
2009
Human Movement Science
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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]
2021
arXiv
pre-print
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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]
2021
arXiv
pre-print
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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
2018
Interspeech 2018
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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]
2021
arXiv
pre-print
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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
2022
Computer systems science and engineering
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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
2013
PLoS ONE
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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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