Fix it where it fails: Pronunciation learning by mining error corrections from speech logs

The pronunciation dictionary, or lexicon, is an essential component in an automatic speech recognition (ASR) system in that incorrect pronunciations cause systematic misrecognitions. It typically con-sists of a list of word-pronunciation pairs written by linguists, and a grapheme-to-phoneme (G2P) engine to generate pronunciations for words not in the list. The hand-generated list can never keep pace with the growing vocabulary of a live speech recognition sys-tem, and the G2P is usually of limited accuracy. This is especially true for proper names whose pronunciations may be influenced by various historical or foreign-origin factors. In this paper, we pro-pose a language-independent approach to detect misrecognitions and their corrections from voice search logs. We learn previously un-known pronunciations from this data, and demonstrate that they sig-nificantly improve the quality of a production-quality speech recog-nition system. Index Terms — speech recognition, pronunciation learning, data extraction, logistic regression 1

Information-Centric Semantic Web of Things

In the Semantic Web of Things (SWoT) paradigm, a plethora of micro-devices permeates an environment. Storage and information processing are decentralized: each component conveys and even processes a (very) small amount of annotated metadata. In this perspective, the node-centric Internet networking model is inadequate. This paper presents a framework for resource discovery in semantic-enhanced pervasive environments leveraging an information-centric networking approach. Information gathered through different Internet of Things (IoT) technologies can be exploited by both ubiquitous and Web-based semantic-aware applications through a uniform set of operations. Experimental results and a case study support sustainability and effectiveness of the proposal

APCO project 25 wireless data services over land mobile radio channel for smaller law enforcement agencies

Digital data messages are very important in modern communication systems and advanced mobile data technologies have opened the door to a wide range of applications and services in the public safety environment. Still, the availability of mobile data services among public safety agencies is hampered by two issues of the implementation of data communication: the reliability of commercial data services and the high cost of the equipment needed to support mixed voice and data transmissions over private land mobile radio channels. This thesis describes the design and development of an inexpensive Software Defined APCO Project 25 Data Base Station that allows smaller law enforcement agencies to enable data services in their cruisers in a cost effective way. The data base station is comprised of a standard PC interfaced to a commercial analog VHF FM transceiver via a commercial PC sound card. The base station is compliant with commercial P25 digital mobile radios and operates in parallel to commercial P25 digital voice communications equipment

ROVER: a DNS-based method to detect and prevent IP hijacks

2013 Fall.Includes bibliographical references.The Border Gateway Protocol (BGP) is critical to the global internet infrastructure. Unfortunately BGP routing was designed with limited regard for security. As a result, IP route hijacking has been observed for more than 16 years. Well known incidents include a 2008 hijack of YouTube, loss of connectivity for Australia in February 2012, and an event that partially crippled Google in November 2012. Concern has been escalating as critical national infrastructure is reliant on a secure foundation for the Internet. Disruptions to military, banking, utilities, industry, and commerce can be catastrophic. In this dissertation we propose ROVER (Route Origin VERification System), a novel and practical solution for detecting and preventing origin and sub-prefix hijacks. ROVER exploits the reverse DNS for storing route origin data and provides a fail-safe, best effort approach to authentication. This approach can be used with a variety of operational models including fully dynamic in-line BGP filtering, periodically updated authenticated route filters, and real-time notifications for network operators. Our thesis is that ROVER systems can be deployed by a small number of institutions in an incremental fashion and still effectively thwart origin and sub-prefix IP hijacking despite non-participation by the majority of Autonomous System owners. We then present research results supporting this statement. We evaluate the effectiveness of ROVER using simulations on an Internet scale topology as well as with tests on real operational systems. Analyses include a study of IP hijack propagation patterns, effectiveness of various deployment models, critical mass requirements, and an examination of ROVER resilience and scalability

Design and applications of a secure and decentralized DHT

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.Cataloged from PDF version of thesis.Includes bibliographical references (p. 105-114).Distributed Hash Tables (DHTs) are a powerful building block for highly scalable decentralized systems. They route requests over a structured overlay network to the node responsible for a given key. DHTs are subject to the well-known Sybil attack, in which an adversary creates many false identities in order to increase its influence and deny service to honest participants. Defending against this attack is challenging because (1) in an open network, creating many fake identities is cheap; (2) an attacker can subvert periodic routing table maintenance to increase its influence over time; and (3) specific keys can be targeted by clustering attacks. As a result, without centralized admission control, previously existing DHTs could not provide strong availability guarantees. This dissertation describes Whanau, a novel DHT routing protocol which is both efficient and strongly resistant to the Sybil attack. Whanau solves this long-standing problem by using the social connections between users to build routing tables that enable Sybilresistant one-hop lookups. The number of Sybils in the social network does not affect the protocol's performance, but links between honest users and Sybils do. With a social network of n well-connected honest nodes, Whanau provably tolerates up to O(n/ log n) such "attack edges". This means that an attacker must convince a large fraction of the honest users to make a social connection with the adversary's Sybils before any lookups will fail. Whanau uses techniques from structured DHTs to build routing tables that contain O(Vf log n) entries per node. It introduces the idea of layered identifiers to counter clustering attacks, which have proven particularly challenging for previous DHTs to handle. Using the constructed tables, lookups provably take constant time. Simulation results, using large-scale social network graphs from LiveJournal, Flickr, YouTube, and DBLP, confirm the analytic prediction that Whanau provides high availability in the face of powerful Sybil attacks. Experimental results using PlanetLab demonstrate that an implementation of the Whanau protocol can handle reasonable levels of churn.by Christopher T. Lesniewski-Laas.Ph.D

Doctor of Philosophy

dissertationThe next generation mobile network (i.e., 5G network) is expected to host emerging use cases that have a wide range of requirements; from Internet of Things (IoT) devices that prefer low-overhead and scalable network to remote machine operation or remote healthcare services that require reliable end-to-end communications. Improving scalability and reliability is among the most important challenges of designing the next generation mobile architecture. The current (4G) mobile core network heavily relies on hardware-based proprietary components. The core networks are expensive and therefore are available in limited locations in the country. This leads to a high end-to-end latency due to the long latency between base stations and the mobile core, and limitations in having innovations and an evolvable network. Moreover, at the protocol level the current mobile network architecture was designed for a limited number of smart-phones streaming a large amount of high quality traffic but not a massive number of low-capability devices sending small and sporadic traffic. This results in high-overhead control and data planes in the mobile core network that are not suitable for a massive number of future Internet-of-Things (IoT) devices. In terms of reliability, network operators already deployed multiple monitoring sys- tems to detect service disruptions and fix problems when they occur. However, detecting all service disruptions is challenging. First, there is a complex relationship between the network status and user-perceived service experience. Second, service disruptions could happen because of reasons that are beyond the network itself. With technology advancements in Software-defined Network (SDN) and Network Func- tion Virtualization (NFV), the next generation mobile network is expected to be NFV-based and deployed on NFV platforms. However, in contrast to telecom-grade hardware with built-in redundancy, commodity off-the-shell (COTS) hardware in NFV platforms often can't be comparable in term of reliability. Availability of Telecom-grade mobile core network hardwares is typically 99.999% (i.e., "five-9s" availability) while most NFV platforms only guarantee "three-9s" availability - orders of magnitude less reliable. Therefore, an NFV-based mobile core network needs extra mechanisms to guarantee its availability. This Ph.D. dissertation focuses on using SDN/NFV, data analytics and distributed system techniques to enhance scalability and reliability of the next generation mobile core network. The dissertation makes the following contributions. First, it presents SMORE, a practical offloading architecture that reduces end-to-end latency and enables new functionalities in mobile networks. It then presents SIMECA, a light-weight and scalable mobile core network designed for a massive number of future IoT devices. Second, it presents ABSENCE, a passive service monitoring system using customer usage and data analytics to detect silent failures in an operational mobile network. Lastly, it presents ECHO, a distributed mobile core network architecture to improve availability of NFV-based mobile core network in public clouds

Hybridizing humans and robots: An RPA horizon envisaged from the trenches

After the initial hype on RPA, companies have more realistic expectations of this technology. Its current mature vision relegates the end-to-end robotic automation to a less suitable place and considers the human-robot collaboration as the most natural way for automating robotic processes in real-world settings. This hybrid RPA implies a vertical segmentation of process activities, i.e., some activities are conducted by humans while robots do others. The literature lacks a general method that considers the technical aspect of the solution, the psychological impact of the automation, and the governance mechanisms that a running hybrid process requires. In this sense, this paper proposes an iterative method dealing with all these aspects and results from a series of industrial experiences. Additionally, the paper deeply discusses the role of process mining in this kind of method and how it can continuously boost its iterations. The initial validation of the method in real-world processes reports substantial benefits in terms of efficiencyMinisterio de Ciencia, Innovación y Universidades PID2019-105455GB-C31Junta de Andalucía CEI-12-TIC02