Since the performance of automatic speech recognition (ASR) still degrades under adverse acoustic conditions, recognition robustness can be improved by incorporating further modalities. The arising question of information fusion shows interesting parallels to problems in digital communications, where the turbo principle revolutionized reliable communication. In this paper, we examine whether th...

Named Entity Recognition (NER) from speech usually involves two sequential steps: transcribing the speech using Automatic Speech Recognition (ASR) and annotating the outputs of the ASR process using NER techniques. Recognizing named entities in automatic transcripts is difficult due to the presence of transcription errors and the absence of some important NER clues, such as capitalization and p...

Managing various behaviors of real users is indispensable for spoken dialogue systems to operate adequately in real environments. We have analyzed various users’ behaviors using data collected over 34 months from the Kyoto City Bus Information System. We focused on “barge-in” and added barge-in rates to our analysis. Temporal transitions of users’ behaviors, such as automatic speech recognition...

This paper investigates the potential applicability of automatic speech recognition (ASR) and 6 well-reported objective quality measures for the task of ranking intelligibility of speech degraded by different real life background noises. In a recent investigation ASR has been reported to give high subjective correlation with human assessment when tested with various system degradations. This pa...

Alkali silica reaction (ASR) is a harmful distress mechanism which results in expansion and reduction of mechanical properties concrete. The latter may cause loss serviceability load carrying capacity affected concrete structures. Influences ASR on are known to be complex nature, for the traditional empirical curve-fitting approaches insufficient provide adequate models capture such complexity....

An End-Of-Turn Detection Module (EOTD-M) is an essential component of automatic Spoken Dialogue Systems. The capability correctly detecting whether a user’s utterance has ended or not improves the accuracy in interpreting meaning message and decreases latency answer. Usually, dialogue systems, EOTD-M coupled with Automatic Speech Recognition (ASR-M) to transmit complete utterances Natural Langu...

Word neighborhoods have been suggested but not thoroughly explored as an explanatory variable for errors in automatic speech recognition (ASR). We revisit the definition of word neighborhoods, propose new measures using a fine-grained articulatory representation of word pronunciations, and consider new neighbor weighting functions. We analyze the significance of our measures as predictors of er...

In this paper we study a new approach to processing temporal information for automatic speech recognition (ASR). Speci cally, we study the use of rather longtime TempoRAl Patterns (TRAPs) of spectral energies in place of the conventional spectral patterns for ASR. The proposed Neural TRAPs are found to yield significant amount of complementary information to that of the conventional spectral fe...

Technologies for ambient assisted living (AAL) are used to increase the quality of life of older or impaired persons. This contribution discusses the utilization of automatic speech recognition (ASR) as a natural interface for control of assistive technologies in everyday life situations. We focus on the use of handsfree systems, the technical challenges for the ASR software caused by this and ...