The convolutional neural network architecture has different components like convolution and
pooling. The pooling is crucial component placed after the convolution layer. It plays a vital …

Our goal is to collect a large-scale audio-visual dataset with low label noise from videosin
the wild'using computer vision techniques. The resulting dataset can be used for training …

One of the most amazing functions of the human auditory system is the ability to detect all
kinds of sound events in the environment. With the technologies and hardware advances …

Audio-visual speech recognition (AVSR) is one of the most promising solutions for reliable
speech recognition, particularly when audio is corrupted by noise. Additional visual …

Sound event detection (SED) entails two subtasks: recognizing what types of sound events
are present in an audio stream (audio tagging), and pinpointing their onset and offset times …

This paper describes Task 2 of the DCASE 2018 Challenge, titled" General-purpose audio
tagging of Freesound content with AudioSet labels". This task was hosted on the Kaggle …

Sound event detection (SED) methods are tasked with labeling segments of audio
recordings by the presence of active sound sources. SED is typically posed as a supervised …

Sound event detection (SED) is a task to detect sound events in an audio recording. One
challenge of the SED task is that many datasets such as the Detection and Classification of …

Presently, most deaths are caused by heart disease. To overcome this situation, heartbeat
sound analysis is a convenient way to diagnose heart disease. Heartbeat sound …

This paper presents DCASE 2018 task 4. The task evaluates systems for the large-scale
detection of sound events using weakly labeled data (without time boundaries). The target of …