Speech & natural language publications

This paper presents novel methods for generative, discriminative, and hybrid sequence classification for segmentation of Turkish word sequences into sentences.

In this paper, we propose a novel question answering system that searches for responses from spoken documents such as broadcast news stories and conversations.

In this paper, we present systematic investigations on combining discriminative re-ranking and co-training, including co-training re-ranked parsers and co-training re-rankers.

We summarize recent progress on SRI’s IraqComm™ IraqiArabic-English two-way speech-to-speech translation system.

We highlight the improvements made to specific subsystems and analyze the performance of various subsystem combinations in different data conditions.

We investigate language model (LM) adaptation in a meeting recognition application, where the LM is adapted based on recognition output from relevant prior meetings and partial manual corrections.

We introduce a strategy for modeling speaker variability in speaker adaptation based on maximum likelihood linear regression (MLLR).

We present a data-driven framework for expanding the lexicon to improve Mandarin broadcast news and conversation speech recognition.

We describe a new GMM-UBM speaker recognition system that uses standard cepstral features, but selects different frames of speech for different subsystems.

This paper focuses on combining answers generated by a semantic parser that produces semantic role labels (SRLs) and those generated by syntactic parser that produces function tags for answering 5-W…

In this paper, we present an error analysis of a new cross-lingual task: the 5W task, a sentence-level understanding task which seeks to return the English 5W's (Who, What, When,…