10 research outputs found
MODELLING GAMAKAS OF CARNATIC MUSIC AS A SYNTHESIZER FOR SPARSE PRESCRIPTIVE NOTATION
Ph.DDOCTOR OF PHILOSOPH
A Cross-Cultural Analysis of Music Structure
PhDMusic signal analysis is a research field concerning the extraction of meaningful information
from musical audio signals. This thesis analyses the music signals from the note-level
to the song-level in a bottom-up manner and situates the research in two Music information
retrieval (MIR) problems: audio onset detection (AOD) and music structural
segmentation (MSS).
Most MIR tools are developed for and evaluated on Western music with specific musical
knowledge encoded. This thesis approaches the investigated tasks from a cross-cultural
perspective by developing audio features and algorithms applicable for both Western and
non-Western genres. Two Chinese Jingju databases are collected to facilitate respectively
the AOD and MSS tasks investigated.
New features and algorithms for AOD are presented relying on fusion techniques. We
show that fusion can significantly improve the performance of the constituent baseline
AOD algorithms. A large-scale parameter analysis is carried out to identify the relations
between system configurations and the musical properties of different music types.
Novel audio features are developed to summarise music timbre, harmony and rhythm for
its structural description. The new features serve as effective alternatives to commonly
used ones, showing comparable performance on existing datasets, and surpass them on
the Jingju dataset. A new segmentation algorithm is presented which effectively captures
the structural characteristics of Jingju. By evaluating the presented audio features and
different segmentation algorithms incorporating different structural principles for the
investigated music types, this thesis also identifies the underlying relations between audio
features, segmentation methods and music genres in the scenario of music structural
analysis.China Scholarship Council
EPSRC C4DM Travel Funding,
EPSRC Fusing Semantic and Audio Technologies for Intelligent Music Production and
Consumption (EP/L019981/1),
EPSRC Platform Grant on Digital Music (EP/K009559/1),
European Research Council project CompMusic, International Society for Music Information Retrieval Student Grant,
QMUL Postgraduate Research Fund,
QMUL-BUPT Joint Programme Funding
Women in Music Information Retrieval Grant
Towards the Automatic Analysis of Metric Modulations
PhDThe metrical structure is a fundamental aspect of music, yet its automatic analysis
from audio recordings remains one of the great challenges of Music Information Retrieval
(MIR) research. This thesis is concerned with addressing the automatic analysis
of changes of metrical structure over time, i.e. metric modulations. The evaluation of
automatic musical analysis methods is a critical element of the MIR research and is
typically performed by comparing the machine-generated estimates with human expert
annotations, which are used as a proxy for ground truth. We present here two new
datasets of annotations for the evaluation of metrical structure and metric modulation
estimation systems. Multiple annotations allowed for the assessment of inter-annotator
(dis)agreement, thereby allowing for an evaluation of the reference annotations used to
evaluate the automatic systems. The rhythmogram has been identified in previous research
as a feature capable of capturing characteristics of rhythmic content of a music
recording. We present here a direct evaluation of its ability to characterise the metrical
structure and as a result we propose a method to explicitly extract metrical structure
descriptors from it. Despite generally good and increasing performance, such rhythm
features extraction systems occasionally fail. When unpredictable, the failures are a
barrier to usability and development of trust in MIR systems. In a bid to address this
issue, we then propose a method to estimate the reliability of rhythm features extraction.
Finally, we propose a two-fold method to automatically analyse metric modulations from
audio recordings. On the one hand, we propose a method to detect metrical structure
changes from the rhythmogram feature in an unsupervised fashion. On the other hand,
we propose a metric modulations taxonomy rooted in music theory that relies on metrical
structure descriptors that can be automatically estimated. Bringing these elements
together lays the ground for the automatic production of a musicological interpretation
of metric modulations.EPSRC award 1325200 and Omnifone Ltd
SIMULATION MODELING OF FLIGHT DYNAMICS, CONTROL AND TRAJECTORY OPTIMIZATION OF ROTORCRAFT TOWING SUBMERGED LOADS
This work presents the mathematical modeling and analysis of helicopters towing submerged loads using long cables for sub-surface object detection when surface-based vessels cannot operate safely. A geometrically exact model of rotating beams is derived, and used to represent both the cable dynamics and rotor blade dynamics. Flight dynamics and trim conditions for an axially flexible straight cable and a curved cable are separately formulated for a general case of helical climbing turns, and used to cross-validate each other. In steady flight, the trim longitudinal dynamics of the submerged load produces down-forces from towed body fins, increasing the apparent weight of the tow system. Cable and towed body drag manifest as increases in the effective equivalent flat-
plate area, necessitating excessive nose-down helicopter trim pitch attitudes (-6◦ ) and causing pilot discomfort. Excessive pitch attitudes can be avoided using aft offset of the helicopter tow point, or the deployment of longer cables in combination with pitching fins to regulate towed body depth. In steady level turning flight, cable and towed body drag result in the submerged load turning with a consistently smaller radius than the helicopter. Depth regulation in turning flight using pitching fins is
less effective than in forward flight due to increased cable drag opposing larger down-forces.
Analysis of linearized models showed that the helicopter frequency response to pilot inputs is unaffected by the addition of the cable and towed body above 1 rad/s. The low-frequency response magnitude reduces with increasing hydrodynamic drag on the cable and towed body, and is unaffected by cable structural properties due to over-damped stabilization from hydrodynamics. The swashplate inputs required to guide the towed body along a "tear-drop" shaped trajectory are obtained using a two-stage process. The motions of the tow point that guide the submerged load along the target path are obtained using an optimization process. The system target states are generated based on these tow point motions, and an LQR controller is used to guide the helicopter along its target path. Trim rotor inflows from the vortex wake model are obtained at the various equilibrium points used to construct helicopter target states, interpolated and applied as "delta" corrections to the dynamic inflow model. Blade elastic twist has a significant effect on rotor power predictions and the steady hub loads, while flap bending elasticity acts as a vibration absorber to
attenuate the oscillatory component of hub rolling and pitching moments
An Anthropology of Intellectual Exchange: Interactions, Transactions and Ethics in Asia and Beyond
Dialogues, encounters and interactions through which particular ways of knowing, understanding and thinking about the world are forged lie at the centre of anthropology. Such ‘intellectual exchange’ is also central to anthropologists’ own professional practice: from their interactions with research participants and modes of pedagogy to their engagements with each other and scholars from adjacent disciplines. This collection of essays explores how such processes might best be studied cross-culturally. Foregrounding the diverse interactions, ethical reasoning, and intellectual lives of people from across the continent of Asia, the volume develops an anthropology of intellectual exchange itself