Social signal processing: Survey of an emerging domain
The ability to understand and manage social signals of a person we are communicating with
is the core of social intelligence. Social intelligence is a facet of human intelligence that has …
is the core of social intelligence. Social intelligence is a facet of human intelligence that has …
Speaker segmentation and clustering
This survey focuses on two challenging speech processing topics, namely: speaker
segmentation and speaker clustering. Speaker segmentation aims at finding speaker …
segmentation and speaker clustering. Speaker segmentation aims at finding speaker …
Classification of audio signals using SVM and RBFNN
P Dhanalakshmi, S Palanivel, V Ramalingam - Expert systems with …, 2009 - Elsevier
In the age of digital information, audio data has become an important part in many modern
computer applications. Audio classification has been becoming a focus in the research of …
computer applications. Audio classification has been becoming a focus in the research of …
Multiclass audio segmentation based on recurrent neural networks for broadcast domain data
This paper presents a new approach based on recurrent neural networks (RNN) to the
multiclass audio segmentation task whose goal is to classify an audio signal as speech …
multiclass audio segmentation task whose goal is to classify an audio signal as speech …
Classification of audio signals using AANN and GMM
P Dhanalakshmi, S Palanivel, V Ramalingam - Applied soft computing, 2011 - Elsevier
Today, digital audio applications are part of our everyday lives. Audio classification can
provide powerful tools for content management. If an audio clip automatically can be …
provide powerful tools for content management. If an audio clip automatically can be …
[PDF][PDF] A decision-tree-based algorithm for speech/music classification and segmentation
We present an efficient algorithm for segmentation of audio signals into speech or music.
The central motivation to our study is consumer audio applications, where various real-time …
The central motivation to our study is consumer audio applications, where various real-time …
Learning sparse dictionaries for music and speech classification
The field of music and speech classification is quite mature with researchers having settled
on the approximate best discriminative representation. In this regard, Zubair et al. showed …
on the approximate best discriminative representation. In this regard, Zubair et al. showed …
Speech-music discrimination using deep visual feature extractors
Speech music discrimination is a traditional task in audio analytics, useful for a wide range
of applications, such as automatic speech recognition and radio broadcast monitoring, that …
of applications, such as automatic speech recognition and radio broadcast monitoring, that …
Audio-based semantic concept classification for consumer video
K Lee, DPW Ellis - IEEE Transactions on Audio, Speech, and …, 2009 - ieeexplore.ieee.org
This paper presents a novel method for automatically classifying consumer video clips
based on their soundtracks. We use a set of 25 overlap** semantic classes, chosen for …
based on their soundtracks. We use a set of 25 overlap** semantic classes, chosen for …
Social signal processing: Understanding social interactions through nonverbal behavior analysis
This paper introduces social signal processing (SSP), the domain aimed at automatic
understanding of social interactions through analysis of nonverbal behavior. The core idea …
understanding of social interactions through analysis of nonverbal behavior. The core idea …