@article{RiedhammerFavreHakkaniTuer2010, author = {Riedhammer, Korbinian and Favre, Benoit and Hakkani-T{\"u}r, Dilek}, title = {Long story short - Global unsupervised models for keyphrase based meeting summarization}, series = {SPEECH COMMUNICATION}, volume = {2010}, journal = {SPEECH COMMUNICATION}, number = {52(10)}, pages = {801 -- 815}, year = {2010}, language = {en} } @article{TurStolckeVossetal.2010, author = {Tur, Gokhan and Stolcke, Andreas and Voss, Lynn and Peters, Stanley and Hakkani-T{\"u}r, Dilek and Dowding, John and Favre, Benoit and Fernandez, Raquel and Frampton, Matthew and Frandsen, Michael and Frederickson, Clint and Graciarena, Martin and Kintzing, Donald and Leveque, Kyle and Mason, Shane and Niekrasz, John and Purver, Matthew and Riedhammer, Korbinian and Shriberg, Elizabeth and Tien, Jing and Vergyri, Dimitra and Yang, Fan}, title = {The CALO Meeting Assistant System}, series = {IEEE Transactions on Audio, Speech and Language Processing}, volume = {2010}, journal = {IEEE Transactions on Audio, Speech and Language Processing}, number = {18(6)}, pages = {1601 -- 1611}, year = {2010}, abstract = {The CALO Meeting Assistant (MA) provides for distributed meeting capture, annotation, automatic transcription and semantic analysis of multiparty meetings, and is part of the larger CALO personal assistant system. This paper presents the CALO-MA architecture and its speech recognition and understanding components, which include real-time and offline speech transcription, dialog act segmentation and tagging, topic identification and segmentation, question-answer pair identification, action item recognition, decision extraction, and summarization.}, language = {en} } @article{HaderleinRiedhammerMaieretal.2009, author = {Haderlein, Tino and Riedhammer, Korbinian and Maier, Andreas and N{\"o}th, Elmar and Eysholdt, Ulrich and Rosanowski, Frank}, title = {Automatisierung des Postlaryngektomie-Telefontests}, series = {HNO}, volume = {2009}, journal = {HNO}, number = {57}, publisher = {Springer-Verlag}, pages = {51 -- 56}, year = {2009}, abstract = {In dieser Studie wird ein objektives Verfahren f{\"u}r die Verst{\"a}ndlichkeitsmessung mit dem Postlaryngektomie-Telefontest (PLTT) mittels automatischer Spracherkennungstechnik beschrieben. 31 Sprecher mit tracheo{\"o}sophagealer Ersatzstimme (25 M{\"a}nner und 6 Frauen; 63,4±8,7 Jahre) wurden zun{\"a}chst von 11 naiven H{\"o}rern bewertet. Der vom Spracherkennungssystem ermittelte Verst{\"a}ndlichkeitsgrad wird als Prozentsatz korrekt verstandener W{\"o}rter einer Wortkette, der Wortakkuratheit bzw. -korrektheit, angegeben und mit den subjektiv ermittelten PLTT-Werten verglichen. Die durchschnittliche PLTT-Gesamtverst{\"a}ndlichkeit der 11 naiven H{\"o}rer liegt bei 47\%, die automatisch ermittelte Wortakkuratheit und Wortkorrektheit liegen deutlich niedriger (etwa 0\% bzw. etwa 15\%). Die Korrelation zwischen menschlicher und maschineller Bewertung liegt jedoch z. T. {\"u}ber 0,9. F{\"u}r den Gesamtverst{\"a}ndlichkeitswert des PLTT kann mit Hilfe der automatischen Spracherkennung objektiv und effizient ein {\"a}quivalentes Maß berechnet werden.}, language = {de} } @inproceedings{BayerlWenningerSchmidtetal.2021, author = {Bayerl, Sebastian P. and Wenninger, Marc and Schmidt, Jochen and Wolff von Gudenberg, Alexander and Riedhammer, Korbinian}, title = {STAN: A stuttering therapy analysis helper}, series = {2021 IEEE Spoken Language Technology Workshop (SLT)}, booktitle = {2021 IEEE Spoken Language Technology Workshop (SLT)}, pages = {2}, year = {2021}, abstract = {Stuttering is a complex speech disorder identified by repetitions, prolongations of sounds, syllables or words and blockswhile speaking. Specific stuttering behaviour differs strongly,thus needing personalized therapy. Therapy sessions requirea high level of concentration by the therapist. We introduce STAN, a system to aid speech therapists in stuttering therapysessions. Such an automated feedback system can lower the cognitive load on the therapist and thereby enable a more consistent therapy as well as allowing analysis of stuttering over the span of multiple therapy sessions.}, language = {en} }