Visual Voice Activity Detection in the Wild
نویسندگان
چکیده
منابع مشابه
Visual voice activity detection at different speeds
Visual Voice Activity Detection (VVAD) refers to the detection of speech from a video sequence by means of visual cues. VVAD provides a useful addition to auditory voice activity detection, in particular in cases involving multiple speakers or background noise. This paper focusses explicitly on the measurement of facial movements at different speeds to determine which rates of movement contribu...
متن کاملCascading appearance-based features for visual voice activity detection
The detection of voice activity is a challenging problem, especially when the level of acoustic noise is high. Most current approaches only utilise the audio signal, making them susceptible to acoustic noise. An obvious approach to overcome this is to use the visual modality. The current state-of-the-art visual feature extraction technique is one that uses a cascade of visual features (i.e. 2D-...
متن کاملA Visual Voice Activity Detection Method with Adaboosting
Spontaneous speech in videos capturing the speaker’s mouth provides bimodal information. Exploiting the relationship between the audio and visual streams, we propose a new visual voice activity detection (VAD) algorithm, to overcome the vulnerability of conventional audio VAD techniques in the presence of background interference. First, a novel lip extraction algorithm combining rotational temp...
متن کاملVoice Activity Detection
• Voice activity detection is the process by which algorithms called Voice Activity Detectors (VADs) are able to distinguish regions that contain speech from regions that do not contain speech in an audio signal • Several features distinguish speech from nonspeech, however, where the speech signal is corrupted by background noise it becomes more and more difficult to characterize these features...
متن کاملA robust audio-visual speech recognition using audio-visual voice activity detection
This paper proposes a novel speech recognition method combining Audio-Visual Voice Activity Detection (AVVAD) and Audio-Visual Automatic Speech Recognition (AVASR). AVASR has been developed to enhance the robustness of ASR in noisy environments, using visual information in addition to acoustic features. Similarly, AVVAD increases the precision of VAD in noisy conditions, which detects presence ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Multimedia
سال: 2016
ISSN: 1520-9210,1941-0077
DOI: 10.1109/tmm.2016.2535357