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Tobias Bocklet

Researcher at Intel

Publications -  98
Citations -  1506

Tobias Bocklet is an academic researcher from Intel. The author has contributed to research in topics: Speaker recognition & Computer science. The author has an hindex of 19, co-authored 86 publications receiving 1286 citations. Previous affiliations of Tobias Bocklet include University of Erlangen-Nuremberg & SRI International.

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Journal ArticleDOI

Speech intelligibility enhancement after maxillary denture treatment and its impact on quality of life.

TL;DR: Speech intelligibility enhancement achieved through the fabrication of new complete maxillary dentures might not be in the forefront of the patients' perception of their quality of life, so food intake and mastication as well as freedom from pain play a more prominent role for the improvement of OHRQoL.
Book ChapterDOI

Age Determination of Children in Preschool and Primary School Age with GMM-Based Supervectors and Support Vector Machines/Regression

TL;DR: This paper focuses on the automatic determination of the age of children in preschool and primary school age using the Maximum A Posterioriadaptation (MAP), which derives the speaker models from a Universal Background Model (UBM) and does not perform an independent parameter estimation.
Proceedings Article

Combining phonological and acoustic ASR-free features for pathological speech intelligibility assessment

TL;DR: It is demonstrated that these ASR-free techniques are also able to predict intelligibility in other languages and show to be complementary, resulting in even better intelligibility predictions when both methods are combined.
Journal ArticleDOI

Factors influencing relative speech intelligibility in patients with oral squamous cell carcinoma: a prospective study using automatic, computer-based speech analysis.

TL;DR: Tumour localization, resection volume, and radiotherapy are crucial factors for speech intelligibility, and Radiotherapy significantly impaired word recognition rate (WR) values with a progression of the impairment for up to 12 months after surgery.
Journal ArticleDOI

Automatically evaluated degree of intelligibility of children with different cleft type from preschool and elementary school measured by automatic speech recognition

TL;DR: A Pattern Recognition Lab, Technical Faculty, Friedrich-Alexander-University Erlangen-Nuremberg, and the Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital, Ludwig-Maximilians-University Munich show the results of a study on pattern recognition and its applications in head and neck surgery.