Speech/Music Classification
Improvement of Speech/Music Classification for 3GPP EVS Based on LSTM
... in speech/music classification problems have been achieved by adopting several machine learning techniques, such as the support vector machine (SVM) [6, 7], Gaussian mixture model (GMM) [8] and deep ...
7
A Decision-Tree-Based Algorithm for Speech/Music Classification and Segmentation
... 1.1. Former Studies. The topic of speech/music classification was studied by many researchers. Table 1 summarizes some of these studies. It can be seen from the table that, while the applications can ...
14
Speech/Music Classification using SVM
... for classification and regression ...linear classification, SVMs can efficientlyperform non-linear classification using what is called the kerneltrick, implicitly mapping their inputs into ...
6
Lyrics based Analysis and Classification of Music
... text classification, including genre detection (Lustrek, 2007) and authorship attribution (Stamatatos, 2009; Holmes, 1994), but also more specifically on poetry analysis (Simonton, 1990) and, in particular, ...
12
The Role of Music in Speech Intelligibility of Learners with Post Lingual Hearing Impairment in Selected Units in Lusaka District
... Poor speech intelligibility was observed in most learners with post lingual hearing Impairment (PLHI) in Lusaka ...poor speech intelligibility and this made communication between them and teachers very ...
8
Robust Features for Effective Speech and Music Discrimination
... or classification have been proposed in the past and many features such as Root Mean Square (RMS) [1], Zero Crossing Rate (ZCR) [1,4,5], low frequency modulation [2,4,5], entropy and dynamism features [2,3,6], Mel ...
7
Survey on Classification Techniques for Music Mood
... from music, like beat grid, mood and genre and intelligently combining this set with image high-level ...of music and ...soft music and shows pictures with sunsets from the last 10 years of his own ...
6
Music genre classification: a multilinear approach
... tures [20]. Commonly used classifiers are Support Vector Machines (SVMs), Nearest-Neighbor (NN) classifiers, or classifiers, which resort to Gaussian Mixture Models, Lin- ear Discriminant Analysis (LDA), etc. Several common ...
7
Psychoacoustic cues to emotion in speech prosody and music
... film music and natural speech ...of speech and music close to the responses of human ...to music and speech prosody can be predicted from a set of seven psychoacoustic features: ...
65
Reflections and analysis to improve clinical practice : a student music therapist's journey with a preschool child with special needs : a dissertation presented in partial fulfilment of the requirements for the degree of Master of Music Therapy at the New Zealand School of Music, Wellington, New Zealand
... this music therapy or something else? Perhaps play therapy? However, even though I was not singing any words, I made musical sounds and was ‘with’ ...indeed music therapy, as it was the first step in ...
123
Multi-label classification of music by emotion
... The classification of songs into a single cluster of emotions was a new category in the 2007 MIREX (Music Information Retrieval Evaluation eXchange) competition c ...label classification approach ...
9
Modelling music: a theoretical approach to the classification of notated Western art music
... how music could be considered as inevitably ...for music (plane 1) even when the intentions of the authors (plane 2), the perceptions of the scheme (plane 3) and the background of the scheme’s invention ...
501
The meaning of music in the vision of the hospitalized person
... Interventions Classification (NIC)(Bulechek, 2015), music therapy is defined as: “the use of music to help achieve a specific change in behavior, feeling or ...that music can be used with the ...
5
Music Content Ranking using Affective Information on Social Media
... prescribes music to a client dependent on the client's enthusiastic state anticipated from the article the client ...and music by utilizing a genuine world dataset with tripartite data gathered from the ...
6
Preprocessing Technique in Automatic Speech Recognition for Human Computer Interaction: An Overview
... on speech recognition is to use a close-talk ...generating speech utterance at normal communication level, the average signal to noise ratio (speech level) increase by about 3dB any time the ...
6
A Review on Genre Classification and Emotion Estimation of Audio Signals using Gaussian Process
... of Music Information Retrieval (MIR). Genre Classification and Mood Estimation are the tasks that are surveyed in this ...which music is generally ...efficient music retrieval system. ...
5
Functional Communication Profiles in Children with Cerebral Palsy in Relation to Gross Motor Function and Manual and Intellectual Ability
... communication classification sys- tems were very strongly related with each ...tion classification systems is recommended for a comprehen- sive description of speech, language, and communication ...
9
Audio segmentation-by-classification approach based on factor analysis in broadcast news domain
... Audio segmentation/classification systems can be divided into two different groups depending on how the segmentation is performed. The first group detects the boundaries in a first step and then classifies each ...
13
A computational study on outliers in world music
... for music content description ...automatic classification and retrieval of mainly Eurogenetic music (Related work ...world music recordings has additional ...the music is very diverse ...
29
Review on Design and Implementation of Audio Signal Classification System to classify the Media in Speech/Music
... general, speech signals are tranquil of changing voiced sounds and unvoiced sounds in the syllable proportion, while music signals do not have this kind of ...for speech signal, its spectrum fluxion ...
7