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Joint Audio-Visual Speech Processing for Recognition …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.70.431
joint audio-visual speech processing audio-visual asr system improved speech recognition recognition experiment simpler feature noise present utilize visual speech visual feature visual speech information present acoustic feature audio-visual asr regression-based approach mouth region integration method traditional automatic speech recognition audio feature …
CiteSeerX — ISCA Archive Joint Audio-Visual Speech ...
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.399.7151
audio-visual asr system improved speech recognition recognition experiment simpler feature noise present utilize visual speech visual feature visual speech information present acoustic feature audio-visual asr regression-based approach mouth region integration method traditional automatic speech recognition audio feature enhancement realistic hci environment general …
Spoken Moments: Learning Joint Audio-Visual ...
http://moments.csail.mit.edu/multi_data/cvpr_poster.pdf
automatic speech recognition system to feed them to language models. Comparison of our dataset to existing video caption datasets. [1] Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogerio Feris, Aude Oliva, Multi-Moments in Time: Learning and Interpreting Models
Google AI Blog: Looking to Listen: Audio-Visual Speech ...
https://ai.googleblog.com/2018/04/looking-to-listen-audio-visual-speech.html
The input to the network are visual features extracted from the face thumbnails of detected speakers in each frame, and a spectrogram representation of the video’s soundtrack. During training, the network learns (separate) encodings for the visual and auditory signals, then it fuses them together to form a joint audio-visual representation.
Audio-Visual Automatic Speech Recognition: Theory ...
https://www.ee.columbia.edu/~stanchen/e6884/slides/lecture12.avsr.pdf
I.B. Audio-visual speech used in HCI. Audio-visual automatic speech recognition (AV-ASR): Utilizes both audio and visual signal inputs from the video of a speaker’s face to obtain the transcript of the spoken utterance. AV-ASR system performance should be better than traditional audio-only ASR.
Designing a Visual Front End in Audio-Visual Automatic ...
https://digitalcommons.calpoly.edu/cgi/viewcontent.cgi?article=2552&context=theses
Designing a Visual Front End in Audio-Visual Automatic Speech Recognition System Junda Dong Audio-visual automatic speech recognition (AVASR) is a speech recognition technique integrating audio and video signals as input. Traditional audio-only speech recognition system only uses acoustic information from an audio source.
Efficient Joint Compensation of Speech for the Effects of ...
https://www.microsoft.com/en-us/research/publication/efficient-joint-compensation-of-speech-for-the-effects-of-additive-noise-and-linear-system/
As automatic speech recognition systems are finding their way into practical applications it is becoming increasingly clear that they must be able to accommodate a variety of acoustical environments. This paper describes two algorithms that provide robustness for automatic speech recognition systems in a fashion that is suitable for real-time environmental normalization for …
Audio-Visual Speech Recognition Using MPEG-4 Compliant ...
https://asp-eurasipjournals.springeropen.com/articles/10.1155/S1110865702206162
We describe an audio-visual automatic continuous speech recognition system, which significantly improves speech recognition performance over a wide range of acoustic noise levels, as well as under clean audio conditions. The system utilizes facial animation parameters (FAPs) supported by the MPEG-4 standard for the visual representation of speech. We also …
TCD-TIMIT: An Audio-Visual Corpus of Continuous Speech
https://matlab-code.org/tcd-timit-an-audio-visual-corpus-of-continuous-speech/
TCD-TIMIT: An Audio-Visual Corpus of Continuous Speech. Automatic audio-visual speech recognition currently lags behind its audio-only counterpart in terms of major progress. One of the reasons commonly cited by researchers is the scarcity of suitable research corpora. This paper details the creation of a new corpus designed for continuous audio-visual speech …
TCD-TIMIT: An Audio-Visual Corpus of Continuous …
https://ieeexplore.ieee.org/abstract/document/7050271
Abstract: Automatic audio-visual speech recognition currently lags behind its audio-only counterpart in terms of major progress. One of the reasons commonly cited by researchers is the scarcity of suitable research corpora. This paper details the creation of a new corpus designed for continuous audio-visual speech recognition research .
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