Speech & natural language publications
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Acoustic Clustering and Adaptation for Robust Speech Recognition
We describe an algorithm based on acoustic clustering and acoustic adaptation to significantly improve speech recognition performance. The method is particularly useful when speech from multiple speakers is to be…
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Modeling Linguistic Segment and Turn Boundaries for N-best Rescoring of Spontaneous Speech
We present an N-best rescoring algorithm that removes the effect of segmentation mismatch. Furthermore, we show that explicit language modeling of hidden linguistic segment boundaries is improved by including turn-boundary…
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Speech: A Privileged Modality
In this article, we use our interaction model to demonstrate that during multimodal fusion, speech should be a privileged modality, driving the interpretation of a query, and that in certain…
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Handset-Dependent Background Models for Robust Text-Independent Speaker Recognition
This paper studies the effects of handset distortion on telephone-based speaker recognition performance. Results on the 1996 NIST Speaker Recognition Evaluation corpus show that using handset-matched background models reduces false…
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Automatic Pronunciation Scoring for Language Instruction
In this paper we show that we can significantly improve HMM- based scores by using average phone segment posterior probabilities. Correlation between machine and human scores went up from r=0.50…
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Model Transformation for Robust Speaker Recognition from Telephone Data
In the context of automatic speaker recognition, we propose a model transformation technique that renders speaker models more robust to acoustic mismatches and to data scarcity by appropriately increasing their…
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Neural-Network Based Measures of Confidence for Word Recognition
This paper proposes a probabilstic framework to define and evaluate confidence measures for word recognition. We describe a novel method to combine different knowledge sources and estimate the confidence in…
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HTTP://WWW.SPEECH.SRI.COM/DEMOS/ATIS.HTML
This paper presents a speech-enabled WWW demonstration based on the Air Travel Information System (ATIS) domain. SRI’s speech recognition technology and natural language understanding are fully integrated in a Java…
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Acoustic Modeling for the SRI Hub4 Partitioned Evaluation Continuous Speech Recognition System
We describe the development of the SRI system evaluated in the 1996 DARPA continuous speech recognition (CSR) Hub4 partitioned evaluation (PE). The task for the Hub4 evaluation was to recognition…
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Hub4 Language Modeling Using Domain Interpolation and Data Clustering
In SRI's language modeling experiments for the Hub4 domain, three basic approaches were pursued: interpolating multiple models estimated from Hub4 and non-Hub4 training data, adapting the language model (LM) to…
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A Speaker Identification Agent
This paper describes a prototype application which combines speaker identification technology and an agent architecture to provide user-definable monitors for incoming voicemail messages. Through a Web-distributable Java user interface, the…
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Handling Compound Nouns in a Swedish Speech-Understanding System
This paper describes and evaluates a simple and general solution to the handling of compound nouns in Swedish and other languages in which compounds can be formed by concatenation of…