Nuance Communications

About: Nuance Communications is a company organization based out in Vienna, Austria. It is known for research contribution in the topics: Speech processing & Voice activity detection. The organization has 1518 authors who have published 1701 publications receiving 54891 citations. The organization is also known as: ScanSoft & ScanSoft Inc..

Method, apparatus, and computer program product for one-step correction of voice interaction

Abstract: A one-step correction mechanism for voice interaction is provided. Correction of a previous state is enabled simultaneously with recognition in a current or subsequent state. An application is decomposed into a set of tasks. Each task is associated with the collection of one piece of information. Each task may be in a different state. At any point during the interaction, while a task/state pair is active, the dialog manager may enable multiple other task/state pairs to be active in latent fashion. The application developer may then use those facilities or resources to the active task/state and the latent task/state pairs depending on contextual condition of the interaction state of the application.

Presenting supplemental content for digital media using a multimodal application

Abstract: The invention relates to a method of rendering to a user data describing where to purchase an item depicted in a portion of digital media being rendered to the user, the method comprising rendering, by a multimodal application, operating on a multimodal device and implemented with a grammar, the portion of the digital media; receiving, by the multimodal application, as a user request a voice utterance from a user; determining, by the multimodal application using an automatic speech recognition (ASR) engine, a recognition result in dependence upon the voice utterance and the grammar, querying a content repository for supplemental content associated with at least a portion of the recognition result, comprising data describing where to purchase the item; and rendering, by the multimodal application, the supplemental content.

ASVspoof 2019: Spoofing Countermeasures for the Detection of Synthesized, Converted and Replayed Speech

Abstract: The ASVspoof initiative was conceived to spearhead research in anti-spoofing for automatic speaker verification (ASV). This paper describes the third in a series of bi-annual challenges: ASVspoof 2019. With the challenge database and protocols being described elsewhere, the focus of this paper is on results and the top performing single and ensemble system submissions from 62 teams, all of which out-perform the two baseline systems, often by a substantial margin. Deeper analyses shows that performance is dominated by specific conditions involving either specific spoofing attacks or specific acoustic environments. While fusion is shown to be particularly effective for the logical access scenario involving speech synthesis and voice conversion attacks, participants largely struggled to apply fusion successfully for the physical access scenario involving simulated replay attacks. This is likely the result of a lack of system complementarity, while oracle fusion experiments show clear potential to improve performance. Furthermore, while results for simulated data are promising, experiments with real replay data show a substantial gap, most likely due to the presence of additive noise in the latter. This finding, among others, leads to a number of ideas for further research and directions for future editions of the ASVspoof challenge.

Proteasomal inhibition after injury prevents fibrosis by modulating TGF-β(1) signalling.

Abstract: Background The development of organ fibrosis after injury requires activation of transforming growth factor β 1 which regulates the transcription of profibrotic genes. The systemic administration of a proteasomal inhibitor has been reported to prevent the development of fibrosis in the liver, kidney and bone marrow. It is hypothesised that proteasomal inhibition would prevent lung and skin fibrosis after injury by inhibiting TGF-β 1 -mediated transcription. Methods Bortezomib, a small molecule proteasome inhibitor in widespread clinical use, was administered to mice beginning 7 days after the intratracheal or intradermal administration of bleomycin and lung and skin fibrosis was measured after 21 or 40 days, respectively. To examine the mechanism of this protection, bortezomib was administered to primary normal lung fibroblasts and primary lung and skin fibroblasts obtained from patients with idiopathic pulmonary fibrosis and scleroderma, respectively. Results Bortezomib promoted normal repair and prevented lung and skin fibrosis when administered beginning 7 days after the initiation of bleomycin. In primary human lung fibroblasts from normal individuals and patients with idiopathic pulmonary fibrosis and in skin fibroblasts from a patient with scleroderma, bortezomib inhibited TGF-β 1 -mediated target gene expression by inhibiting transcription induced by activated Smads. An increase in the abundance and activity of the nuclear hormone receptor PPARγ, a repressor of Smad-mediated transcription, contributed to this response. Conclusions Proteasomal inhibition prevents lung and skin fibrosis after injury in part by increasing the abundance and activity of PPARγ. Proteasomal inhibition may offer a novel therapeutic alternative in patients with dysregulated tissue repair and fibrosis.

Method, system, and apparatus for data reuse

Abstract: A system and method may be disclosed for facilitating the creation or modification of a document by providing a mechanism for locating relevant data from external sources and organizing and incorporating some or all of said data into the document. In the method for reusing data, there may be a set of documents that may be queried, where each document may be divided into a plurality of sections. A plurality of section text groups may be formed based on the set of documents, where each section text group may be associated with a respective section from the plurality of sections and each section group includes a plurality of items. Each item may be associated with a respective section from each document of the set of documents. A selected item within a selected section text group may be focused. The selected item may be extracted to a current document. The current document may be exported to a host application.