Add to ORKGWe propose the enhancement and evaluation of a deep neural network that is trained from scratch in an end-to-end fashion, generating a face directly from the raw speech waveform without any additional identity information (e.g reference image or one-hot encoding)
This paper presents the manufacturing and optimization of a convolutional-recurrent neural network, ...
Millions of hearing impaired people around the world routinely use some variants of sign languages t...
1186-1194Sign language recognition systems are used for enabling communication between deaf-mute peo...
We propose the enhancement and evaluation of a deep neural network that is trained from scratch in a...
We present SignSynth, a fully automatic and holistic approach to generating sign language video. Tra...
We present a novel approach to automatic Sign Language Production using stateof- the-art Neural Mach...
We present a novel approach to automatic Sign Language Production using recent developments in Neura...
We present SignSynth, a fully automatic and holistic approach to generating sign language video. Tr...
Speech is a rich biometric signal that contains information about the identity, gender and emotional...
Speech is a rich biometric signal that contains information about the identity, gender and emotional...
Sign language recognition (SLR) refers to the classification of signs with a specific meaning perfor...
There are softwares which translate from any language to any language, however, the promise of the f...
Automatic sign language recognition lies at the intersection of natural language processing (NLP) an...
Sign language is a visual-gestural language used by hearing impaired person, they modality the gestu...
Umjetna inteligencija danas obogaćuje život ljudi na razne načine, od samog luksuza do pružanja nužn...
This paper presents the manufacturing and optimization of a convolutional-recurrent neural network, ...
Millions of hearing impaired people around the world routinely use some variants of sign languages t...
1186-1194Sign language recognition systems are used for enabling communication between deaf-mute peo...
We propose the enhancement and evaluation of a deep neural network that is trained from scratch in a...
We present SignSynth, a fully automatic and holistic approach to generating sign language video. Tra...
We present a novel approach to automatic Sign Language Production using stateof- the-art Neural Mach...
We present a novel approach to automatic Sign Language Production using recent developments in Neura...
We present SignSynth, a fully automatic and holistic approach to generating sign language video. Tr...
Speech is a rich biometric signal that contains information about the identity, gender and emotional...
Speech is a rich biometric signal that contains information about the identity, gender and emotional...
Sign language recognition (SLR) refers to the classification of signs with a specific meaning perfor...
There are softwares which translate from any language to any language, however, the promise of the f...
Automatic sign language recognition lies at the intersection of natural language processing (NLP) an...
Sign language is a visual-gestural language used by hearing impaired person, they modality the gestu...
Umjetna inteligencija danas obogaćuje život ljudi na razne načine, od samog luksuza do pružanja nužn...
This paper presents the manufacturing and optimization of a convolutional-recurrent neural network, ...
Millions of hearing impaired people around the world routinely use some variants of sign languages t...
1186-1194Sign language recognition systems are used for enabling communication between deaf-mute peo...