Towards a Knowledge Graph based Speech Interface

Applications which use human speech as an input require a speech interface with high recognition accuracy. The words or phrases in the recognised text are annotated with a machine-understandable meaning and linked to knowledge graphs for further processing by the target application. These semantic annotations of recognised words can be represented as a subject-predicate-object triples which collectively form a graph often referred to as a knowledge graph. This type of knowledge representation facilitates to use speech interfaces with any spoken input application, since the information is represented in logical, semantic form, retrieving and storing can be followed using any web standard query languages. In this work, we develop a methodology for linking speech input to knowledge graphs and study the impact of recognition errors in the overall process. We show that for a corpus with lower WER, the annotation and linking of entities to the DBpedia knowledge graph is considerable. DBpedia Spotlight, a tool to interlink text documents with the linked open data is used to link the speech recognition output to the DBpedia knowledge graph. Such a knowledge-based speech recognition interface is useful for applications such as question answering or spoken dialog systems.Comment: Under Review in International Workshop on Grounding Language Understanding, Satellite of Interspeech 201

Foreign Direct Investment and Labour: The Case of Indian Manufacturing

This paper makes an attempt to evaluate the employment and wage effects of FDI in Indian manufacturing. The findings suggest that foreign firms do not have any adverse effects on the manufacturing employment in India as compared to their domestic counterparts while they significantly pay relatively higher to their workers. Therefore this study tends to imply that labour in fact had benefited from foreign investment in India.FDI; Labour; Wages; Employment

Design and implementation of 9-Level Trinity DC Source inverter using Embedded Controller

Trinary DC source cascaded H-bridge multilevel inverter and the switching pattern scheme is used to improve the performance of Multilevel Inverter (MLI) which reduces the switching losses. The proposed MLI can synthesize high quality output voltage near to sinusoidal waves. This scheme significantly reduces the Total Harmonic Distortion (THD) and switching losses. The circuit configuration is simple and easy to control.  For the developed technique simulations are carried out through MATLAB/SIMULIN

Measurement and modeling of solitary wave induced bed shear stress over a rough bed

Bed shear stresses generated by solitary waves were measured using a shear cell apparatus over a rough bed in laminar and transitional flow regimes (~7600 < Re < ~60200). Modeling of bed shear stress was carried out using analytical models employing convolution integration methods forced with the free stream velocity and three eddy viscosity models. The measured wave height to water depth (h/d) ratio varied between 0.13 and 0.65; maximum near- bed velocity varied between 0.16 and 0.47 m/s and the maximum total shear stress (sum of form drag and bed shear) varied between 0.565 and 3.29 Pa. Wave friction factors estimated from the bed shear stresses at the maximum bed shear stress using both maximum and instantaneous velocities showed that there is an increase in friction factors estimated using instantaneous velocities, for non-breaking waves. Maximum positive total stress was approximately 2.2 times larger than maximum negative total stress for non-breaking waves. Modeled and measured positive total stresses are well correlated using the convolution model with an eddy viscosity model analogous to steady flow conditions (nu_t=0.45u* z1; where nu_t is eddy viscosity, u* is shear velocity and z1 is the elevation parameter related to relative roughness). The bed shear stress leads the free stream fluid velocity by approximately 30° for non-breaking waves and by 48° for breaking waves, which is under-predicted by 27% by the convolution model with above mentioned eddy viscosity model

Measurements and modeling of direct bed shear stress under solitary waves

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv