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LipNet
LipNet is a deep neural network for visual speech recognition. It was created by Yannis Assael, Brendan Shillingford, Shimon Whiteson and Nando de Freitas, researchers from the University of Oxford. The technique, outlined in a paper in November 2016, is able to decode text from the movement of a speaker's mouth. Traditional visual speech recognition approaches separated the problem into two stages: designing or learning visual features, and prediction. LipNet was the first end-to-end sentence-level lipreading model that learned spatiotemporal visual features and a sequence model simultaneously. Audio-visual speech recognition has enormous practical potential, with applications in improved hearing aids, medical applications, such as improving the recovery and wellbeing of critically ill patients, and speech recognition in noisy environments, such as Nvidia Nvidia CorporationOfficially written as NVIDIA and stylized in its logo as VIDIA with the lowercase "n" the same height a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Speech Recognition
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers with the main benefit of searchability. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields. The reverse process is speech synthesis. Some speech recognition systems require "training" (also called "enrollment") where an individual speaker reads text or isolated vocabulary into the system. The system analyzes the person's specific voice and uses it to fine-tune the recognition of that person's speech, resulting in increased accuracy. Systems that do not use training are called "speaker-independent" systems. Systems that use training are called "speaker dependent". Speech recognition ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Deep Neural Network
Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Deep-learning architectures such as deep neural networks, deep belief networks, deep reinforcement learning, recurrent neural networks, convolutional neural networks and Transformers have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, climate science, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance. Artificial neural networks (ANNs) were inspired by information processing and distributed communication nodes in biological systems. ANNs have various differences from biological brains. Specifically, artificial neural netwo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Visual Speech Recognition
Audio visual speech recognition (AVSR) is a technique that uses image processing capabilities in lip reading to aid speech recognition systems in recognizing undeterministic phones or giving preponderance among near probability decisions. Each system of lip reading and speech recognition works separately, then their results are mixed at the stage of feature fusion Feature may refer to: Computing * Feature (CAD), could be a hole, pocket, or notch * Feature (computer vision), could be an edge, corner or blob * Feature (software design) is an intentional distinguishing characteristic of a software item .... As the name suggests, it has two parts. First one is the audio part and second one is the visual part. In audio part we use features like log mel spectrogram, mfcc etc. from the raw audio samples and we build a model to get feature vector out of it . For visual part generally we use some variant of convolutional neural network to compress the image to a feature vector a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Brendan Shillingford
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Brendan may refer to: People * Saint Brendan the Navigator (c. 484 – c. 577) was an Irish monastic saint. * Saint Brendan of Birr (died 573), Abbot of Birr in Co. Offaly, contemporaneous with the above * Brendan (given name), a masculine given name in the English language Other uses * '' Brendan and the Secret of Kells'', an animated feature film * Brendan Airways, parent company of USA3000 Airlines * Storm Brendan (other), various storms See also *St. Brendan's (other) Saint Brendan's is an Irish cream liqueur. St. Brendan's or Saint Brendan or ''variation'', may also refer to: People * St. Brendan the Voyager Navigator of Clonfert (c. AD 484–c. 577), Irish monastic saint * Saint Brendan of Birr (died 573), A ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Shimon Whiteson
Shimon ( he, שמעון) is the original Hebrew pronunciation of the names Simon and Simeon. Among individuals, Shimon can refer to: Given names * Shimon Agranat (1906-1992), Israeli judge and President of the Israeli Supreme Court * Shimon Amsalem (born 1966), Israeli basketball player * Shimon Dotan (born 1949), Israeli filmmaker * Shimon Gershon (born 1977), Israeli footballer * Shimon Iakerson (born 1956), Russian historian * Shimon Moore (born 1982), Australian musician *Shimon Moyal (1866–1915) was a Zionist activist and physician * Shimon Peres (1923-2016), Israeli politician and President of Israel * Shimon Shetreet (born 1946), Israeli politician * Shimon Ullman (born 1948), Israeli computer scientist * Shimon (DJ), British music producer * Šimon, a Viking warrior in medieval Russia * Shimon Cheenikkal,a catholic priest Surnames * Masato Shimon (born 1944), Japanese singer * Ran Ben Shimon (born 1970), Israeli football player and manager See also * *Simon (given na ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Nando De Freitas
Nando de Freitas is a researcher in the field of machine learning, and in particular in the subfields of neural networks, Bayesian inference and Bayesian optimization, and deep learning. Biography De Freitas was born in Zimbabwe. He did his undergraduate studies (1991–94) and MSc (1994–96) at the University of the Witwatersrand, and his PhD at Trinity College, Cambridge (1996-2000). From 2001, he was a professor at the University of British Columbia, before joining the Department of Computer Science at the University of Oxford from 2013 to 2017. He now works for Google's DeepMind. Awards and recognition De Freitas has been recognised for his contributions to machine learning through the following awards: * Best Paper Award at the International Conference on Machine Learning (2016) * Best Paper Award at the International Conference on Learning Representations The International Conference on Learning Representations (ICLR) is a machine learning conference typically ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
University Of Oxford
, mottoeng = The Lord is my light , established = , endowment = £6.1 billion (including colleges) (2019) , budget = £2.145 billion (2019–20) , chancellor = The Lord Patten of Barnes , vice_chancellor = Louise Richardson , students = 24,515 (2019) , undergrad = 11,955 , postgrad = 12,010 , other = 541 (2017) , city = Oxford , country = England , coordinates = , campus_type = University town , athletics_affiliations = Blue (university sport) , logo_size = 250px , website = , logo = University of Oxford.svg , colours = Oxford Blue , faculty = 6,995 (2020) , academic_affiliations = , The University of Oxford is a collegiate research university in Oxf ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Nvidia
Nvidia CorporationOfficially written as NVIDIA and stylized in its logo as VIDIA with the lowercase "n" the same height as the uppercase "VIDIA"; formerly stylized as VIDIA with a large italicized lowercase "n" on products from the mid 1990s to early-mid 2000s. Though unofficial, second letter capitalization of NVIDIA, i.e. nVidia, may be found within enthusiast communities and publications. ( ) is an American multinational technology company incorporated in Delaware and based in Santa Clara, California. It is a software and fabless company which designs graphics processing units (GPUs), application programming interface (APIs) for data science and high-performance computing as well as system on a chip units (SoCs) for the mobile computing and automotive market. Nvidia is a global leader in artificial intelligence hardware and software. Its professional line of GPUs are used in workstations for applications in such fields as architecture, engineering and construction, media ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Deep Learning Software Applications
Deep or The Deep may refer to: Places United States * Deep Creek (Appomattox River tributary), Virginia * Deep Creek (Great Salt Lake), Idaho and Utah * Deep Creek (Mahantango Creek tributary), Pennsylvania * Deep Creek (Mojave River tributary), California * Deep Creek (Pine Creek tributary), Pennsylvania * Deep Creek (Soque River tributary), Georgia * Deep Creek (Texas), a tributary of the Colorado River * Deep Creek (Washington), a tributary of the Spokane River * Deep River (Indiana), a tributary of the Little Calumet River * Deep River (Iowa), a minor tributary of the English River * Deep River (North Carolina) * Deep River (Washington), a minor tributary of the Columbia River * Deep Voll Brook, New Jersey, also known as Deep Brook Elsewhere * Deep Creek (Bahamas) * Deep Creek (Melbourne, Victoria), Australia, a tributary of the Maribyrnong River * Deep River (Western Australia) People * Deep (given name) * Deep (rapper), Punjabi rapper from Houston, Texas * Ravi Deep ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
