Spoken Language Communication with Machines: The Long and Winding Road from Research to Business

Pieraccini, Roberto; Lubensky, David M.

doi:10.1007/11504894_2

Cited by 11 publications

(4 citation statements)

References 10 publications

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“…e.g. [11] and [30]), and voice-input has also found its way into commercial products like Dragon Naturally Speaking [28], it was only recently, driven by successful mobile phones like the Apple iPhone [2] or the Google Nexus (S) [15], that touch-input, in its more current multi-touch incarnation, also found wide adoption.…”

Section: Combining Touch-and Voice-inputmentioning

confidence: 99%

Speech augmented multitouch interaction patterns

Schnelle-Walka

Döweling

2011

Proceedings of the 16th European Conference on Pattern Languages of Programs

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Touch-and voice-based input have emerged as the most popular and relevant interaction modes to enable a natural interaction with computer systems. However, until now, they have mostly been treated separately. In particular, explicit design knowledge on the eective combinations of these modes for an improved user experience is currently not available in a comprehensive form. In this paper, we address this shortage and introduce design patterns which support developers in exploiting the possibilities of combined voice and touch interaction for newly developed systems, so that interaction with these systems becomes more natural for the respective end users.

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Section: Combining Touch-and Voice-inputmentioning

confidence: 99%

Speech augmented multitouch interaction patterns

Schnelle-Walka

Döweling

2011

Proceedings of the 16th European Conference on Pattern Languages of Programs

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“…Human-computer interfaces (HCIs) are frequently those parts of modern information and communications technology (ICT) systems, which play a crucial role in the case when the products are entering the market [1]. HCI is, from a user's perspective, perceived as the entity which can control the system's functionality and, thus, improve the quality of experience [2].…”

Section: Introductionmentioning

confidence: 99%

Effective Pitch Value Detection in Noisy Intelligent Environments for Efficient Natural Language Processing

Vlaj¹,

Žgank²,

Kos³

2020

Recent Trends in Computational Intelligence

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The performance of applications based on natural language processing depends primarily on the environment in which these applications are applied. Intelligent environments will be one of the major applications used to process natural language. The methods for speaker's gender classification can adapt and improve the performance of natural language processing applications. That is why, this chapter will present an effective speaker's pitch value detection in noisy environments, which then allows more robust speaker's gender classification. The chapter presents the algorithm for the speaker's pitch value detection and performs the comparison in various noisy environments. The experiments are carried out on the part of the publically available Aurora 2 speech database. The results showed that the automatically determined pitch values deviate, on average, only by 8.39 Hz from the reference pitch value. A well-defined pitch value allows a functional speaker's gender classification. In this chapter, presented speaker's gender classification works well, even at low signal to noise ratios. The experiments show that the speaker's gender classification performance at SNR 0 dB is higher than 91% when the automatically determined pitch value is used. Speaker's gender classification can then be used further in the processes of natural language processing.

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“…However, these systems are also usually designed ad-hoc for their specific domain using rulebased models and standards in which developers must specify each one of the steps to be followed by the system. This way, the adaptation of the hand-crafted designed systems to new tasks is a time-consuming process that implies a considerable effort, with the everincreasing problem of dialogue complexity [35,36,39]. In addition, although much work emphasize the importance of taking into account context information not only to solve the tasks presented to the dialogue system by the user, but also to enhance the system performance in the communication task, this information is not usually considered when designing a dialogue model [20,49].…”

Section: Introductionmentioning

confidence: 99%

Providing personalized Internet services by means of context-aware spoken dialogue systems

Griol

Molina

Callejas

2013

Journal of Ambient Intelligence and Smart Environments

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The widespread use of new mobile technology implementing wireless communications enables a new type of advanced applications to access information services on the Internet. In order to provide services which meet the user needs through intelligent information retrieval, the system must sense and interpret the user environment and the communication context. Though context-awareness is vital to provide services adapted to the user preferences, it cannot be useful if such services are difficult to access. The development of spoken dialogue systems for these applications facilitates interaction in natural language with the environment which is also benefited from contextual information. In this paper, we propose a framework to develop context-aware dialogue systems that dynamically incorporate user specific requirements and preferences as well as characteristics about the interaction environment, in order to improve and personalize web information and services. We have identified the major components for context-aware dialogue systems and placed them within a general-purpose architecture. The framework also describes a representation mode based on a dialogue register in order to share information between the elements of the architecture, and incorporates statistical methodologies for dialogue management in order to reduce the effort required for both the implementation of a new system and the adaptation to a new task. We have evaluated our proposal developing a travelplanning system, and provide a detailed discussion of its positive influence in the quality of the interaction and the information and services provided.

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Spoken Language Communication with Machines: The Long and Winding Road from Research to Business

Cited by 11 publications

References 10 publications

Speech augmented multitouch interaction patterns

Speech augmented multitouch interaction patterns

Effective Pitch Value Detection in Noisy Intelligent Environments for Efficient Natural Language Processing

Providing personalized Internet services by means of context-aware spoken dialogue systems

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