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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 …
Audio-Visual Speech Recognition by Speechreading
https://digitalcommons.calpoly.edu/cgi/viewcontent.cgi?article=1261&context=eeng_fac
audio-visual speech recognition and performance evalua tions are presented in Section 4 for both speaker dependent and speaker-independent cases. 2. VISUAL ANALYSIS . 2.1 Previous Work Most visual speech information is contained in the lips. Thus, visual analysis in automatic speechreading usually focuses on lip feature extraction.
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. Issues: Audio, visual feature extraction, audio-visual integration. Audio-Visual …
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 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 …
(PDF) Audio-visual automatic speech recognition: An ...
https://www.academia.edu/18372567/Audio_visual_automatic_speech_recognition_An_overview
The visual front end design and the audio-visual fusion modules introduce additional challenging tasks to automatic recognition of speech, as compared to traditional audio-only ASR. They are discussed in detail in this chapter. visibility of articulators, such as the tongue, teeth, and lips.
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