Distributed Multi-Speaker Voice Activity Detection for Wireless Acoustic Sensor Networks

A distributed multi-speaker voice activity detection (DM-VAD) method for wireless acoustic sensor networks (WASNs) is proposed. DM-VAD is required in many signal processing applications, e.g. distributed speech enhancement based on multi-channel Wiener filtering, but is non-existent up to date. The proposed method neither requires a fusion center nor prior knowledge about the node positions, microphone array orientations or the number of observed sources. It consists of two steps: (i) distributed source-specific energy signal unmixing (ii) energy signal based voice activity detection. Existing computationally efficient methods to extract source-specific energy signals from the mixed observations, e.g., multiplicative non-negative independent component analysis (MNICA) quickly loose performance with an increasing number of sources, and require a fusion center. To overcome these limitations, we introduce a distributed energy signal unmixing method based on a source-specific node clustering method to locate the nodes around each source. To determine the number of sources that are observed in the WASN, a source enumeration method that uses a Lasso penalized Poisson generalized linear model is developed. Each identified cluster estimates the energy signal of a single (dominant) source by applying a two-component MNICA. The VAD problem is transformed into a clustering task, by extracting features from the energy signals and applying K-means type clustering algorithms. All steps of the proposed method are evaluated using numerical experiments. A VAD accuracy of $> 85 \%$ is achieved for a challenging scenario where 20 nodes observe 7 sources in a simulated reverberant rectangular room

Distributed Computing in Sensor Systems [electronic resource] : 6th IEEE International Conference, DCOSS 2010, Santa Barbara, CA, USA, June 21-23, 2010, Proceedings /

The book constitutes the refereed proceedings of the 6th International Conference on Distributed Computing in Sensor Systems, DCOSS 2010, held in Santa Barbara, CA, USA, in June 2010. The 28 revised full papers presented were carefully reviewed and selected from 76 submissions. The research contributions in this proceedings span important aspects of sensor systems, including energy management; communication; coverage and tracking; time synchronization and scheduling; key establishment and authentication; compression; medium access control; code update; and mobility.Tables: A Spreadsheet-Inspired Programming Model for Sensor Networks -- Optimized Java Binary and Virtual Machine for Tiny Motes -- ZeroCal: Automatic MAC Protocol Calibration -- Programming Sensor Networks Using Remora Component Model -- Stateful Mobile Modules for Sensor Networks -- Design and Implementation of a Robust Sensor Data Fusion System for Unknown Signals -- Control Theoretic Sensor Deployment Approach for Data Fusion Based Detection -- Approximate Distributed Kalman Filtering for Cooperative Multi-agent Localization -- Thermal-Aware Sensor Scheduling for Distributed Estimation -- Decentralized Subspace Tracking via Gossiping -- Building (1????) Dominating Sets Partition as Backbones in Wireless Sensor Networks Using Distributed Graph Coloring -- On Multihop Broadcast over Adaptively Duty-Cycled Wireless Sensor Networks -- A Novel Mobility Management Scheme for Target Tracking in Cluster-Based Sensor Networks -- Suppressing Redundancy in Wireless Sensor Network Traffic -- Ensuring Data Storage Security against Frequency-Based Attacks in Wireless Networks -- Time-Critical Data Delivery in Wireless Sensor Networks -- MetroTrack: Predictive Tracking of Mobile Events Using Mobile Phones -- Mobile Sensor Network Localization in Harsh Environments -- AEGIS: A Lightweight Firewall for Wireless Sensor Networks -- Halo: Managing Node Rendezvous in Opportunistic Sensor Networks -- Optimal Data Gathering Paths and Energy Balance Mechanisms in Wireless Networks -- Programming Sensor Networks with State-Centric Services -- Fast Decentralized Averaging via Multi-scale Gossip -- Wormholes No More? Localized Wormhole Detection and Prevention in Wireless Networks -- Wireless Jamming Localization by Exploiting Nodes’ Hearing Ranges -- Self-stabilizing Synchronization in Mobile Sensor Networks with Covering -- Sensor Allocation in Diverse Environments -- Data Spider: A Resilient Mobile Basestation Protocol for Efficient Data Collection in Wireless Sensor Networks.The book constitutes the refereed proceedings of the 6th International Conference on Distributed Computing in Sensor Systems, DCOSS 2010, held in Santa Barbara, CA, USA, in June 2010. The 28 revised full papers presented were carefully reviewed and selected from 76 submissions. The research contributions in this proceedings span important aspects of sensor systems, including energy management; communication; coverage and tracking; time synchronization and scheduling; key establishment and authentication; compression; medium access control; code update; and mobility