TY - CHAP A1 - Faria, Arlo A1 - Riedhammer, Korbinian T1 - REMEETING — Get More Out Of Meetings T2 - INTERSPEECH 2015, 16th Annual Conference of the International Speech Communication Association, Dresden, Germany, September 2015. N2 - Remeeting is a tool that helps you get more out of in-person meetings. Calendar integration and a special email address allow users to email agenda items prior to a certain meeting. A discrete notification at the time of the meeting reminds the user to start the recording. During the meeting, the user focuses on the conversation, or can add notes and photos if desired. After the meeting, every participant gets notified by an automated email that lists the participants along with automatically extracted keywords, notes and photos. This stimulates collaboration, and keeps follow-up contributions at a central place: Just reply to add further notes to the meeting. The resulting meeting “document” can be shared with others and reviewed using a web app that acts as a visual index to the meeting. This makes Remeeting the perfect tool for regular group meetings, standups and interviews, where people typically track progress and follow up on. Remeeting is leveraging, promoting and contributing to open source projects including kaldi and docker. KW - Speech Recognition KW - speaker identification KW - automatic summarization KW - productivity Y1 - 2015 ER - TY - CHAP A1 - Faria, Arlo A1 - Riedhammer, Korbinian T1 - REMEETING — Get More Out of Meetings T2 - INTERSPEECH 2014, 15th Annual Conference of the International Speech Communication Association, IEEE Workshop on Spoken Language Technologies (SLT), Singapore, September 2014. KW - Speech Recognition KW - speaker identification KW - automatic summarization KW - productivity Y1 - 2014 ER - TY - CHAP A1 - Faria, Arlo A1 - Riedhammer, Korbinian A1 - Janin, Adam A1 - Bauer, A. T1 - REMEETING: Searchable Conversations T2 - INTERSPEECH 2016, Annual Conference of the International Speech Communication Association (ISCA), IEEE Workshop on Spoken Language Technologies (SLT), San Francisco, USA, September 2016. KW - Speech Recognition Y1 - 2016 ER - TY - CHAP A1 - Wegmann, Steven A1 - Faria, Arlo A1 - Janin, Adam A1 - Riedhammer, Korbinian A1 - Morgan, Nelson T1 - The Tao of ATWV: Probing the mysteries of keyword search performance T2 - IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Olomouc, Czech Republic, Dezember 2013. N2 - In this paper we apply diagnostic analysis to gain a deeper understanding of the performance of the the keyword search system that we have developed for conversational telephone speech in the IARPA Babel program. We summarize the Babel task, its primary performance metric, “actual term weighted value” (ATWV), and our recognition and keyword search systems. Our analysis uses two new oracle ATWV measures, a bootstrap-based ATWV confidence interval, and includes a study of the underpinnings of the large ATWV gains due to system combination. This analysis quantifies the potential ATWV gains from improving the number of true hits and the overall quality of the detection scores in our system's posting lists. It also shows that system combination improves our systems' ATWV via a small increase in the number of true hits in the posting lists. KW - Speech Recognition Y1 - 2013 ER -