Speech & natural language publications

We examine the problem of end-of-utterance (EOU) detection for real-time speech recognition, particularly in the context of a human-computer dialog system.

We investigate the incorporation of larger time-scale information, such as prosody, into standard speaker ID systems. Our study is based on the Extended Data Task of the NIST 2001 Speaker…

We introduce SRI's new speech recognition engine, DynaSpeak(TM), which is characterized by its scalability and flexibility, high recognition accuracy, memory and speed efficiency, adaptation capability, efficient grammar optimization, support for…

In this paper, we report on our research and progress on the DARPA-sponsored Hub-4 continuous speech recognition evaluations, with an emphasis on efficient modeling.

We describe SRI's recognition system as used in the 2001 DARPA Speech in Noisy Environments (SPINE) evaluation. The SPINE task involves recognition of speech in simulated military environments.

This paper summarizes statistical modeling approaches for the use of prosody (the rhythm and melody of speech) in automatic recognition and understanding of speech.

We have developed a more sophisticated approach for multichannel speech activity detection using a simple hidden Markov model (HMM).

We describe a new method of modeling duration at word level. These duration models are easily trained from the acoustic training data and can be used to rescore N-best lists…

In this paper, we summarize recent work at SRI International in the area of computational prosody modeling, and results from several recognition tasks where prosodic knowledge proved to be of…

We examine the distribution of overlapping speech in different corpora of natural multi-party conversations, including two types of meetings, and two corpora of telephone conversations.

We derive a new set of equations for MMIE based on a quasi-Newton algorithm, without relying on EBW. We find that by adopting a generalized form of the MMIE criterion,…