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- Emotional speech analysis (2)
- Emotional speech corpora (2)
- Machine annotation (2)
- Traditional music (2)
- Academic Frameworks (1)
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- Acoustic signal analysis (1)
- Annotation (1)
- Case base reasoning (1)
- Cookery (1)
- Corpus (1)
- Dance music (1)
- Dance tunes (1)
- Emotional Character Animation (1)
- Emotional Speech Corpora (1)
- Ireland (1)
- Irish dance tunes (1)
- Irish traditional tunes (1)
- Knowledge light approach (1)
- MATT2 (1)
- Mood Induction Procedure (1)
- Multicast (1)
- Music information retrieval (1)
- Music notation language (1)
- Natural Emotional Speech (1)
- RFID (1)
- Radio Frequency Identification (1)
- Routing (1)
- Shortest path tree (1)
- Smart Spaces (1)
- Speech (1)
Articles 1 - 12 of 12
Full-Text Articles in Computer Engineering
Optimisation Of Multicast Routing In Wireless Mesh Networks, Brian Keegan, Karol Kowalik, Mark Davis
Optimisation Of Multicast Routing In Wireless Mesh Networks, Brian Keegan, Karol Kowalik, Mark Davis
Conference papers
In recent years Wireless Mesh Networks have been deployed and grown in popularity in many metropolitan areas. The deployment of such networks has allowed clients to gain access to publicly available broadband networks. The implementation of wireless mesh networks requires that backhaul services (traditionally carried by wired networks) be maintained via wireless mesh points. Because of their structure, wireless mesh networks provide an excellent means for targeting a large group of end users or simply to relay data. This may be achieved by means of broadcasting or more specifically multicasting. The lack of standards and support for multicasting over wireless …
A Vowel-Stress Emotional Speech Analysis Method, Charlie Cullen, Brian Vaughan, Spyros Kousidis
A Vowel-Stress Emotional Speech Analysis Method, Charlie Cullen, Brian Vaughan, Spyros Kousidis
Conference papers
The analysis of speech, particularly for emotional content, is an open area of current research. This paper documents the development of a vowel-stress analysis framework for emotional speech, which is intended to provide suitable assessment of the assets obtained in terms of their prosodic attributes. The consideration of different levels of vowel-stress provides means by which the salient points of a signal may be analysed in terms of their overall priority to the listener. The prosodic attributes of these events can thus be assessed in terms of their overall significance, in an effort to provide a means of categorising the …
Emotional Speech Corpus Construction, Annotation And Distribution, Brian Vaughan, Charlie Cullen, Spyros Kousidis, John Mcauley
Emotional Speech Corpus Construction, Annotation And Distribution, Brian Vaughan, Charlie Cullen, Spyros Kousidis, John Mcauley
Conference papers
This paper details a process of creating an emotional speech corpus by collecting natural emotional speech assets, analysisng and tagging them (for certain acoustic and linguistic features) and annotating them within an on-line database. The definition of specific metadata for use with an emotional speech corpus is crucial, in that poorly (or inaccurately) annotated assets are of little use in analysis. This problem is compounded by the lack of standardisation for speech corpora, particularly in relation to emotion content. The ISLE Metadata Initiative (IMDI) is the only cohesive attempt at corpus metadata standardisation performed thus far. Although not a comprehensive …
Emotional Speech Corpora For Analysis And Media Production, Charlie Cullen, Brian Vaughan, Spyros Kousidis
Emotional Speech Corpora For Analysis And Media Production, Charlie Cullen, Brian Vaughan, Spyros Kousidis
Conference papers
Research into the acoustic correlates of emotional speech as part of the SALERO project has led to the construction of high quality emotional speech corpora, which contain both IMDI metadata and acoustic analysis data for each asset. Research into semi-automated, re-usable character animation has considered the development of online workflows based on speech corpus assets that would provide a single point of origin for character animation in media production. In this paper, a brief description of the corpus design and construction is given. Further, a prototype workflow for semi-automated emotional character animation is also provided, alongside a description of current …
Linguatag: An Emotional Speech Analysis Application, Charlie Cullen, Brian Vaughan, Spyros Kousidis
Linguatag: An Emotional Speech Analysis Application, Charlie Cullen, Brian Vaughan, Spyros Kousidis
Conference papers
The analysis of speech, particularly for emotional content, is an open area of current research. Ongoing work has developed an emotional speech corpus for analysis, and defined a vowel stress method by which this analysis may be performed. This paper documents the development of LinguaTag, an open source speech analysis software application which implements this vowel stress emotional speech analysis method developed as part of research into the acoustic and linguistic correlates of emotional speech. The analysis output is contained within a file format combining SMIL and SSML markup tags, to facilitate search and retrieval methods within an emotional speech …
Metadata Visualisation Techniques For Emotional Speech Corpora, Charlie Cullen, Brian Vaughan, Spyros Kousidis
Metadata Visualisation Techniques For Emotional Speech Corpora, Charlie Cullen, Brian Vaughan, Spyros Kousidis
Conference papers
Our research in emotional speech analysis has led to the construction of dedicated high quality, online corpora of natural emotional speech assets. Once obtained, the annotation and analysis of these assets was necessary in order to develop a database of both analysis data and metadata relating to each speech act. With annotation complete, the means by which this data may be presented to the user online for analysis, retrieval and organization is the current focus of our investigations. Building on an initial web interface developed in Ruby on Rails, we are now working towards a visually driven GUI built on …
Rfid: An Ideal Technology For Ubiquitous Computing?, Ciaran O'Driscoll, Daniel Maccormac, Mark Deegan, Fredrick Mtenzi, Brendan O'Shea
Rfid: An Ideal Technology For Ubiquitous Computing?, Ciaran O'Driscoll, Daniel Maccormac, Mark Deegan, Fredrick Mtenzi, Brendan O'Shea
Conference papers
This paper presents a review of RFID based approaches used for the development of smart spaces and smart objects. We explore approaches that enable RFID technology to make the transition from the recognized applications such as retail to ubiquitous computing, in which computers and technology fade into the background of day to day life. In this paper we present the case for the use of RFID technology as a key technology of ubiquitous computing due to its ability to embed itself in everday objects and spaces. Frameworks to support the operation of RFID-based smart objects and spaces are discussed and …
A System For Automatically Annotating Traditional Irish Music Field Recordings, Bryan Duggan, Brendan O'Shea, Padraig Cunningham
A System For Automatically Annotating Traditional Irish Music Field Recordings, Bryan Duggan, Brendan O'Shea, Padraig Cunningham
Conference papers
This paper presents MATT2 (Machine Annotation of Traditional Tunes). MATT2 is a novel system which can automatically annotate field recordings of traditional Irish music with useful metadata such as tune name, key signature, time signature, composer and discography. MATT2 works by using a number of algorithms to automatically transcribe digital audio to be annotated to the ABC music notation language. It then compares these transcriptions against a corpus of 860 human made transcriptions in ABC using a variation of the edit distance algorithm. Results using MATT2 to annotate fifty recordings of flute and fiddle tunes demonstrate a high success rate …
The Annotation Of Traditional Irish Dance Music Using Matt2 And Tansey, Bryan Duggan, Brendan O'Shea, Mikel Gainza
The Annotation Of Traditional Irish Dance Music Using Matt2 And Tansey, Bryan Duggan, Brendan O'Shea, Mikel Gainza
Conference papers
Currents estimates put the canon of traditional Irish dance tunes at least 7,000 compositions. Given this diversity, a common problem faced by musicians and ethnomusicologists is identifying tunes from recordings. This is evident even in the number of commercial recordings whose title is gan ainm (without name). This work attempts to solve this problem by developing a Content Based Music Information Retrieval (CBMIR) System adapted to the characteristics of traditional Irish music. A system is presented called MATT2 (Machine Annotation of Traditional Tunes) whose primary goal is to annotate recordings of traditional Irish dance music with useful meta-data including tune …
Back To The Future:Knowledge Light Case Base Cookery, Qian Zhang, Rong Hu, Brian Mac Namee, Sarah Jane Delany
Back To The Future:Knowledge Light Case Base Cookery, Qian Zhang, Rong Hu, Brian Mac Namee, Sarah Jane Delany
Conference papers
The domain of cookery has been of interest for Case-Based Reasoning (CBR) research for many years since the CHEF case-based planning system in the mid 1980s. This paper returns to look at this domain, emphasising a knowledge-light approach. Our approach focuses on; the design of a structured case representation which encapsulates the details of a recipe, on leveraging WordNet for identifying food items and the relationships between them, and on using Active Learning to assist in labelling recipes with meal and cuisine types. Users can search for recipes by specifying the ingredients they wish to include in, or exclude from, …
Machine Annotation Of Sets Of Traditional Irish Dance Tunes, Bryan Duggan, Brendan O'Shea, Mikel Gainza, Padraig Cunningham
Machine Annotation Of Sets Of Traditional Irish Dance Tunes, Bryan Duggan, Brendan O'Shea, Mikel Gainza, Padraig Cunningham
Conference papers
A set in traditional Irish music is a sequence of two or more dance tunes in the same time signature, where each tune is repeated an arbitrary number of times. A turn in a set represents the point at which either a tune repeats or a new tune is introduced. Tunes in sets are played in a segue (without a pause) and so detecting the turn is a significant challenge. This paper presents the MATS algorithm, a novel algorithm for identifying turns in sets of traditional Irish music. MATS works on digitised audio files of monophonic flute and tin-whistle music. …
C-Saw---Contextual Semantic Alignment Of Ontologies: Using Negative Semantic Reinforcement, Brendan Tierney, Mike Jackson
C-Saw---Contextual Semantic Alignment Of Ontologies: Using Negative Semantic Reinforcement, Brendan Tierney, Mike Jackson
Conference papers
Understanding the meaning of each term in an ontology is essential for successfully integrating and aligning ontologies. Much ontology integration research to date is focused on syntactic, structural and semantic matching where the actual meaning of the concepts is disregarded. The C-SAW approach to ontology alignment is based on the Contextualizing the concepts by using a set of Semantic Alignment Words (C-SAW). The C-SAW approach is enhanced by Negative Semantic Reinforcement (NSR), where additional semantic meaning can be added to the set of Semantic Alignment Words, by considering words which are unrelated to the concept.