Conference Papers (IBC)
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Nabeth, Thierry; Razmerita, Liana; Kirchner, Kathrin (Frederiksberg, 2013)[More information][Less information]
Abstract: Social media has transformed the web into a hyper-connected social space that is inundated by a flood of social signals that reflects the activities of the members, and contributes to the dynamic of the interaction. In this context, the participants decode, process and emit information for making sense of this social world, and for acting upon it. The objective of this paper is to explore the implication of this setting for an application in the context of supporting creativity online. More specifically, we examine the effect of the massive circulation of this social information and its management on systems supporting the collective creative process online. URI: http://hdl.handle.net/10398/8690 Files in this item: 1
Razmarita.pdf (29.84Kb) -
Sanden, Guro Refsum (Frederiksberg, 2012)[More information][Less information]
Abstract: One important effect of globalisation for the multinational corporation (MNC) is the increasing diversity of the workforce, which becomes clear through the variety of different language backgrounds found among employees at all levels of the organisation. In order to overcome the linguistic barriers presented by the multilingual workforce, MNCs may try to implement various language policies or strategies to regulate the internal communicative environment, for example by adopting a common corporate language, or deploy language management tools such as language training for employees or use of translation services. However, these language policies may have consequences unanticipated by the management, and could possibly affect the company in ways far beyond the scope of the linguistic-communicative area. This paper attempts to examine the role of corporate language policies and their effects for the internal communication patterns of a MNC. It is argued that the importance of language as a precondition for successful employee collaboration implies that language policies should not be developed in isolation from the organisational context, but instead be employed with the purpose of supporting the overall goals and objectives of the corporation. If the MNC fails to adequately address the language issue of its organisation, the problems may potentially escalate to the extent that they negatively affect the operation of the firm and its economic performance. Finally, it is argued that language policies can be both reactive, building on previous language experiences, and proactive, as a management tool to help shape the future language practices of a company and its employees. URI: http://hdl.handle.net/10398/8685 Files in this item: 1
Sanden.pdf (269.4Kb) -
Data-driven prosodic feature assignment for diphone synthesisJuel Henrichsen, Peter (Frederiksberg, 2)[More information][Less information]
Abstract: Today's synthetic voices are largely based on diphone synthesis (DiSyn) and unit selection synthesis (UnitSyn). In most DiSyn systems, prosodic envelopes are generated with formal models while UnitSyn systems refer to extensive, highly indexed sound databases. Each approach has its drawbacks; such as low naturalness (DiSyn) and dependence on huge amounts of background data (UnitSyn). We present a hybrid model based on high-level speech data. As preliminary tests show, prosodic models combining DiSyn style at the phone level with UnitSyn style at the supra-segmental levels may approach UnitSyn quality on a DiSyn footprint. Our test data are Danish, but our algorithm is language neutral. URI: http://hdl.handle.net/10398/8595 Files in this item: 1
Henrichsen.pdf (158.2Kb) -
Christiansen, Thomas Ulrich; Juel Henrichsen, Peter (Frederiksberg, 2012)[More information][Less information]
Abstract: Digital hearing aids use a variety of advanced digital signal processing methods in order to improve speech intelligibility. These methods are based on knowledge about the acoustics outside the ear as well as psychoacoustics. This paper investigates the recent observation that speech elements with a high degree of information can be robustly identified based on basic acoustic properties, i.e., function words have greater spectral tilt than content words for each of the 18 Danish talkers investigated. In this paper we examine these spectral tilt differences as a function of time based on a speech material six times the duration of previous investigations. Our results show that the correlation of spectral tilt with information content is relatively constant across time, even if averaged across talkers. This indicates that it is possible to devise a robust method for estimating information density in the speech signal based on computationally simple short-term band-level differences. The principle described here has the potential to improve speech transduction in hearing aids and cochlear implants. In addition, the concept of information-based speech transduction may also be applicable in automatic speech recognition systems. URI: http://hdl.handle.net/10398/8617 Files in this item: 1
Peter_Juel_Henrichsen_1.pdf (478.2Kb) -
A Multi-lingual Speech Corpus for Cognitive ResearchJuel Henrichsen, Peter; Uneson, Marcus (Frederiksberg, 2012)[More information][Less information]
Abstract: We present the speech corpus SMALLWorlds (Spoken Multi-lingual Accounts of Logically Limited Worlds), newly established and still growing. SMALLWorlds contains monologic descriptions of scenes or worlds which are simple enough to be formally describable. The descriptions are instances of content-controlled monologue: semantically “pre-specified” but still bearing most hallmarks of spontaneous speech (hesitations and filled pauses, relaxed syntax, repetitions, self-corrections, incomplete constituents, irrelevant or redundant information, etc.) as well as idiosyncratic speaker traits. In the paper, we discuss the pros and cons of data so elicited. Following that, we present a typical SMALLWorlds task: the description of a simple drawing with differently coloured circles, squares, and triangles, with no hints given as to which description strategy or language style to use. We conclude with an example on how SMALLWorlds may be used: unsupervised lexical learning from phonetic transcription. At the time of writing, SMALLWorlds consists of more than 250 recordings in a wide range of typologically diverse languages from many parts of the world, some unwritten and endangered. URI: http://hdl.handle.net/10398/8618 Files in this item: 1
Peter_Juel_Henrichsen_2012_2.pdf (172.0Kb)
