Speech Recognition for Smart Homes




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2. Smart Homes 
The ongoing incorporation of modern digital technology into day to day living, is likely to 
see smart homes joining the next wave of computational technology penetration 
(McLoughlin & Sharifzadeh, 2007). This is an inevitable step in the increasing convenience 
Open 
Access 
Database 
www.intechweb.org
Source: Speech Recognition, Technologies and Applications, Book edited by: France Miheli
č
and Janez Žibert,
ISBN 978-953-7619-29-9, pp. 550, November 2008, I-Tech, Vienna, Austria


 Speech 
Recognition, 
Technologies and Applications 
478 
and user satisfaction in a world where users expect to be surrounded and served by many 
kinds of computers and digital consumer electronics products.
In parallel to this, advancements in networking have led to computer networks becoming 
common in everyday life (Tanenbaum, 1996) – driven primarily by the Internet. This has 
spawned new services, and new concepts of cost-effective and convenient connectivity, in 
particular wireless local-area networks. Such connectivity has in turn promoted the 
adoption of digital infotainment. 
Fig. 1. An illustration of the range and scope of potential smart home services, reproduced 
by permission of ECHONET Consortium, Japan (ECHONET, 2008). 
Recently trends reveal that consumers are more often buying bundles of services in the area 
of utilities and entertainment, while technical studies in the field of connected appliances 
(Lahrmann, 1998; Kango et al., 2002b) and home networking (Roy, 1999) are showing 
increasing promise, and increasing convergence in those areas. Figure 1 illustrates many of 
the services that can be provided for various activities within a house (ECHONET, 2008). An 
appliance can be defined as smart when it is 'an appliance whose data is available to all 
concerned at all times throughout its life cycle' (Kango et al., 2002). As a matter of fact, smart 
appliances often use emerging technologies and communications methods (Wang et al., 
2000) to enable various services for both consumer and producer. 
Here we define smart homes as those having characteristics such as central control of home 
appliances, networking ability, interaction with users through intelligent interfaces and so 
on. When considering natural interaction with users, one of the most user-friendly methods 
would be vocal interaction (VI). Most importantly, VI matches well the physical 
environment of the smart home. A VI system that can be accessed in the garage, bathroom, 
bedroom and kitchen would require at least a distributed set of microphones and 
loudspeakers, along with a centralised processing unit. A similar KMM solution will by 
contrast require keyboard, mouse and monitor in each room, or require the user to walk to a 
centralised location to perform input and control. The former solution is impractical for cost 


Speech Recognition for Smart Homes 
479 
and environmental reasons (imagine using KMM whilst in the shower), the latter solution is 
not user-friendly. 
Practical VI presupposes a viable two way communications channel between user and 
machine that frees the user from a position in front of KMM. It does not totally replace a 
monitor – viewing holiday photographs is still more enjoyable with a monitor than through 
a loudspeaker – and in some instances a keyboard or mouse will still be necessary: such as 
entering or navigating complex technical documents. However a user-friendly VI system 
can augment the other access methods, and be more ubiquitous in accessibility, answering 
queries and allowing control when in the shower, whilst walking up stairs, in the dark and 
even during the messy process of stuffing a turkey. 
The following sections focus on ASR issues as an enabling technology for VI in smart home 
computing, beginning with an overview of ASR evolution and state-of-the art. 

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