Page: 1 2 3 4 5 6 7 8 9... 114
81 |
Язык описания проблемы и исследование его возможностей ... : Exploring Possibilities of Language for Describing the Problem ...
|
|
|
|
BASE
|
|
Show details
|
|
82 |
Breathing and Speech Planning in Spontaneous Speech Synthesis
|
|
|
|
BASE
|
|
Show details
|
|
83 |
Augmented Prompt Selection for Evaluation of Spontaneous Speech Synthesis
|
|
|
|
BASE
|
|
Show details
|
|
84 |
Adaptive 3D Model-Based Facial Expression Synthesis and Pose Frontalization
|
|
|
|
In: Sensors ; Volume 20 ; Issue 9 (2020)
|
|
BASE
|
|
Show details
|
|
85 |
Non-Contact Speech Recovery Technology Using a 24 GHz Portable Auditory Radar and Webcam
|
|
|
|
In: Remote Sensing ; Volume 12 ; Issue 4 (2020)
|
|
Abstract:
Language has been one of the most effective ways of human communication and information exchange. To solve the problem of non-contact robust speech recognition, recovery, and surveillance, this paper presents a speech recovery technology based on a 24 GHz portable auditory radar and webcam. The continuous-wave auditory radar is utilized to extract the vocal vibration signal, and the webcam is used to obtain the fitted formant frequency. The traditional formant speech synthesizer is selected to synthesize and recover speech, using the vocal vibration signal as the sound source excitation and the fitted formant frequency as the vocal tract resonance characteristics. Experiments on reading single English characters and words are carried out. Using microphone records as a reference, the effectiveness of the proposed speech recovery technology is verified. Mean opinion scores show a relatively high consistency between the synthesized speech and original acoustic speech.
|
|
Keyword:
auditory radar; formant frequency extraction; labial motion; speech recovery; speech synthesis
|
|
URL: https://doi.org/10.3390/rs12040653
|
|
BASE
|
|
Hide details
|
|
86 |
Editorial for Special Issue “IberSPEECH2018: Speech and Language Technologies for Iberian Languages”
|
|
|
|
In: Applied Sciences ; Volume 10 ; Issue 1 (2020)
|
|
BASE
|
|
Show details
|
|
87 |
Semantic Deep Face Models
|
|
|
|
In: 2020 International Conference on 3D Vision (3DV) (2020)
|
|
BASE
|
|
Show details
|
|
88 |
MacArthur-Bates Communicative Developmental Inventories (CDI): A Research Synthesis Evaluating Children at 2-36 months
|
|
|
|
In: MA in Linguistics Final Projects (2020)
|
|
BASE
|
|
Show details
|
|
89 |
Controlling the voice quality dimension of prosody in synthetic speech using an acoustic glottal model
|
|
MURPHY, ANDREW. - : Trinity College Dublin. School of Linguistic Speech & Comm Sci. C.L.C.S., 2020
|
|
BASE
|
|
Show details
|
|
90 |
Eco‑evo‑devo and iterated learning : towards an integrated approach in the light of niche construction
|
|
|
|
BASE
|
|
Show details
|
|
91 |
Identification of Novel Modifiers of RAN Translation at FMR1 and C9ORF72
|
|
|
|
BASE
|
|
Show details
|
|
92 |
How the Reading for Understanding Initiative’s Research Complicates the Simple View of Reading Invoked in the Science of Reading
|
|
|
|
BASE
|
|
Show details
|
|
93 |
Challenges and Perspectives on Real-time Singing Voice Synthesis
|
|
|
|
In: Revista de Informática Teórica e Aplicada; v. 27, n. 4 (2020); 118-126 ; 21752745 ; 01034308 (2020)
|
|
BASE
|
|
Show details
|
|
95 |
Technology-mediated task-based language teaching: A qualitative research synthesis
|
|
Chong, Sin Wang; Reinders, Hayo. - : University of Hawaii National Foreign Language Resource Center, 2020. : Center for Language & Technology, 2020. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2020
|
|
BASE
|
|
Show details
|
|
96 |
Diversity and Inclusion in Psychiatry: The Pursuit of Health Equity
|
|
|
|
In: Focus (Am Psychiatr Publ) (2020)
|
|
BASE
|
|
Show details
|
|
97 |
Phonetic convergence in the shadowing for natural and synthesized speech in Polish
|
|
|
|
In: Lingua Posnaniensis, Vol 62, Iss 2, Pp 7-17 (2020) (2020)
|
|
BASE
|
|
Show details
|
|
98 |
F0 modeling using DNN for Arabic parametric speech synthesis
|
|
|
|
In: INNSBDDL 2019 - INNS Big Data and Deep Learning ; https://hal.inria.fr/hal-02177496 ; INNSBDDL 2019 - INNS Big Data and Deep Learning, Apr 2019, Sestri Levante, Italy (2019)
|
|
BASE
|
|
Show details
|
|
99 |
Annotation and data-driven synthesis of facial expressions of French sign language ; Annotation et synthèse basée données des expressions faciales de la Langue des Signes Française
|
|
|
|
In: https://hal.archives-ouvertes.fr/tel-03080311 ; Computer science. Université Bretagne-Sud, 2019. English (2019)
|
|
BASE
|
|
Show details
|
|
100 |
Text-to-Speech Synthesis Using Found Data for Low-Resource Languages
|
|
|
|
BASE
|
|
Show details
|
|
Page: 1 2 3 4 5 6 7 8 9... 114
|
|