Fast and accurate speech recognition systems bring with them the possibility of designing flexible voice driven applications. In this paper, we highlight the needs related to a voice interface and describe the implementation of a general-purpose spoken language interface, the Camegie Mellon Spoken Language Shell (CM-SLS). CM-SLS provides voice interface services to different applications runnin...

The huge amount of available spoken documents has raised the need for tools to perform automatic searches within large audio databases. These collections usually consist of documents with a great variability regarding speaker, language or recording channel, among others. Reducing this variability would boost the performance of query-by-example search on speech systems, especially in zero-resour...

This paper reports on the design, development and evaluation of a bilingual telephone-based spoken language system for foreign exchange inquiries the CU FOREX system. The telephonebased system supports Cantonese and English in a single spoken language interface to access real-time foreign exchange information. The specific domain covers information on the exchange rates between foreign currenci...

This paper describes new experiments for the classification of recorded operator assistance telephone utterances. The experimental work focused on three techniques: support vector machines (SVM), simple recurrent networks (SRN) and finite-state transducers (FST) using a large, unique telecommunication corpus of spontaneous spoken language. A comparison is made of the performance of these classi...

This paper describes a text retrieval system for cellular phones with Web browsing capability, which accepts spoken queries over the cellular phone and provides the search result on the cellular phone screen. This system recognizes spoken queries by large vocabulary continuous speech recognition (LVCSR), retrieves relevant document by text retrieval, and provides the search result on the World ...

This paper describes the work done as a part of the International Workshop on Speech Summarization for Information Extraction and Machine Translation (IWSpS) , on spoken language processing including summarization, machine translation and question answering on lecture speech in the Translanguage English Database (TED) corpus . The hypotheses of lecture speech obtained by automatic speech recogn...

We investigated the use of context-dependent deep neural network hidden Markov models, or CD-DNN-HMMs, to improve speech recognition performance for a better assessment of children English language learners (ELLs). The ELL data used in the present study was obtained from a large language assessment project administered in schools in a U.S. state. Our DNN-based speech recognition system, built u...

The goal of speech research at Carnegie Mellon continues to be the development of spoken language systems that effectively intelFate speech processing into the human-computer interface in a way that facilitates the use of computers in the performance of practical tasks. Research in spoken language is currently focussed in the following areas: • Improved speech recognit ion technologies: Extendi...