Low latency audio coder design for high quality audio service on server-client environment

2013 ◽  
Vol 133 (5) ◽  
pp. 3300-3300
Author(s):  
Han-gil Moon ◽  
Nam-suk Lee ◽  
Hyun-wook Kim
Keyword(s):  
Low Latency ◽  
High Quality ◽  
Audio Coder

Low Latency Audio Streaming for Internet-Based Musical Interaction

2011 ◽  
pp. 362-383
Author(s):  
Alexander Carôt
Keyword(s):  
Personal Computer ◽  
Theoretical Background ◽  
The Internet ◽  
Low Latency ◽  
Video Content ◽  
High Quality ◽  
Delivery Of Services ◽  
Musical Interaction ◽  
Bidirectional Exchange ◽  
Machine Processing

With the current Internet bandwidth capacities and machine processing performance the personal computer has become an affordable and flexible multimedia platform for high quality audio and video content. Besides the delivery of services such as TV, telephone and radio, the Internet can also be used for the instantaneous bidirectional exchange of musical information. Due to the variety and complexity of already existing remote music and communication approaches, an elaboration on this topic is mandatory, which covers any relevant musical, technical or interdisciplinary aspect of remote musical interaction. Therefore, this chapter gives an overview of currently applied technologies and possibilities with their theoretical background.

scholarly journals Identifiers.org: Compact Identifier services in the cloud

2020 ◽  
Author(s):  
Manuel Bernal-Llinares ◽  
Javier Ferrer-Gómez ◽  
Nick Juty ◽  
Carole Goble ◽  
Sarala M Wimalaratne ◽  
...  
Keyword(s):  
Life Science ◽  
Life Sciences ◽  
High Availability ◽  
Third Party ◽  
Low Latency ◽  
Cloud Environment ◽  
Science Data ◽  
High Quality ◽  
Front End ◽  
Readable Text

Abstract Motivation Since its launch in 2010, Identifiers.org has become an important tool for the annotation and cross-referencing of Life Science data. In 2016, we established the Compact Identifier (CID) scheme (prefix: accession) to generate globally unique identifiers for data resources using their locally assigned accession identifiers. Since then, we have developed and improved services to support the growing need to create, reference and resolve CIDs, in systems ranging from human readable text to cloud-based e-infrastructures, by providing high availability and low-latency cloud-based services, backed by a high-quality, manually curated resource. Results We describe a set of services that can be used to construct and resolve CIDs in Life Sciences and beyond. We have developed a new front end for accessing the Identifiers.org registry data and APIs to simplify integration of Identifiers.org CID services with third-party applications. We have also deployed the new Identifiers.org infrastructure in a commercial cloud environment, bringing our services closer to the data. Availabilityand implementation https://identifiers.org.

Low Latency and High Quality Two-Stage Human-Voice-Enhancement System for a Hose-Shaped Rescue Robot

2017 ◽  
Vol 29 (1) ◽  
pp. 198-212 ◽  
Author(s):  
Yoshiaki Bando ◽  
◽  
Hiroshi Saruwatari ◽  
Nobutaka Ono ◽  
Shoji Makino ◽  
...  
Keyword(s):  
Microphone Array ◽  
Principal Component ◽  
Matrix Analysis ◽  
Low Rank ◽  
Low Latency ◽  
High Quality ◽  
Two Stage ◽  
Rescue Robot ◽  
Human Voice ◽  
Rank Matrix

[abstFig src='/00290001/19.jpg' width='300' text='Human-voice enhancement system for a hose-shaped robot' ] This paper presents the design and implementation of a two-stage human-voice enhancement system for a hose-shaped rescue robot. When a microphone-equipped hose-shaped robot is used to search for a victim under a collapsed building, human-voice enhancement is crucial because the sound captured by a microphone array is contaminated by the ego-noise of the robot. For achieving both low latency and high quality, our system combines online and offline human-voice enhancement, providingan overview first and then details on demand. The online enhancement is used for searching for a victim in real time, while the offline one facilitates scrutiny by listening to highly enhanced human voices. Our online enhancement is based on an online robust principal component analysis, and our offline enhancement is based on an independent low-rank matrix analysis. The two enhancement methods are integrated with Robot Operating System (ROS). Experimental results showed that both the online and offline enhancement methods outperformed conventional methods.

Edge Content Caching with Deep Spatiotemporal Residual Network for IoV in Smart City

2021 ◽  
Vol 17 (3) ◽  
pp. 1-33
Author(s):  
Xiaolong Xu ◽  
Zijie Fang ◽  
Jie Zhang ◽  
Qiang He ◽  
Dongxiao Yu ◽  
...  
Keyword(s):  
Service Providers ◽  
Smart Cities ◽  
Low Latency ◽  
Residual Network ◽  
High Quality ◽  
Internet Of Vehicles ◽  
Service Requirement ◽  
Content Caching ◽  
Efficiency And Effectiveness ◽  
Edge Content

Internet of Vehicles (IoV) enables numerous in-vehicle applications for smart cities, driving increasing service demands for processing various contents (e.g., videos). Generally, for efficient service delivery, the contents from the service providers are processed on the edge servers (ESs), as edge computing offers vehicular applications low-latency services. However, due to the reusability of the same contents required by different distributed vehicular users, processing the copies of the same contents repeatedly in an edge server leads to a waste of resources (e.g., storage, computation, and bandwidth) in ESs. Therefore, it is a challenge to provide high-quality services while guaranteeing the resource efficiency with edge content caching. To address the challenge, an edge content caching method for smart cities with service requirement prediction, named E-Cache, is proposed. First, the future service requirements from the vehicles are predicted based on the deep spatiotemporal residual network (ST-ResNet). Then, preliminary content caching schemes are elaborated based on the predicted service requirements, which are further adjusted by a many-objective optimization aiming at minimizing the execution time and the energy consumption of the vehicular services. Eventually, experimental evaluations prove the efficiency and effectiveness of E-Cache with spatiotemporal traffic trajectory big data.

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