Speaker identification using multi-modal i-vector approach for varying length speech in voice interactive systems

The development in the interface of smart devices has lead to voice interactive systems. An additional step in this direction is to enable the devices to recognize the speaker. But this is a challenging task because the interaction involves short duration speech utterances. The traditional Gaussian mixture models (GMM) based systems have achieved satisfactory results for speaker recognition only when the speech lengths are sufficiently long. The current state-of-the-art method utilizes i-vector based approach using a GMM based universal background model (GMM-UBM). It prepares an i-vector speaker model from a speaker’s enrollment data and uses it to recognize any new test speech. In this work, we propose a multi-model i-vector system for short speech lengths. We use an open database THUYG-20 for the analysis and development of short speech speaker verification and identification system. By using an optimum set of mel-frequency cepstrum coefficients (MFCC) based features we are able to achieve an equal error rate (EER) of 3.21% as compared to the previous benchmark score of EER 4.01% on the THUYG-20 database. Experiments are conducted for speech lengths as short as 0.25 s and the results are presented. The proposed method shows improvement as compared to the current i-vector based approach for shorter speech lengths. We are able to achieve improvement of around 28% even for 0.25 s speech samples. We also prepared and tested the proposed approach on our own database with 2500 speech recordings in English language consisting of actual short speech commands used in any voice interactive system.     

What are the odds of burnt-out risk and leaving the job? Turnover intent consequences of worker burnout using a two sample New Zealand study

Job burnout is a pressing issue for organizations, and this study explores the new Burnout Assessment Tool (BAT), which provides a robust calculation of burnt-out risk. Next, the odds of high turnover intentions from burnt-out risk are calculated using two samples: (1) N = 709 employees and (2) N = 313 managers. Analysis shows the odds of burnt-out risk are higher for managers (17%) than employees (8%). High burnt-out risk in employees shows a 47% likelihood of high turnover intent versus 13% for employees with nonburnt-out risk. High burnt-out risk in managers shows a 51% likelihood of high turnover intent versus 12% for managers with nonburnt-out risk. Furthermore, moderating effects of supervisor organizational embodiment were found to interact with burnt-out risk for employees only, showing the highest turnover intent when embodiment is high, reflecting the potential backlash against the organization.     

Use of trait information in the attribution of intentions by popular,average and rejected children

This study aimed to examine the extent to which children's sociometric status is related to the use of trait information. Therefore, 99 children (aged 4–6) were asked to make inferences about protagonists' future actions when positive or negative trait information was given. Results showed that rejected children were less affected by the protagonist's trait information than their more popular peers (average and popular) in both conditions. As well as their frequently reported hostile bias, rejected children also showed a positive bias. This suggests a general delay in social reasoning among rejected children, but can also be explained by a difference in their development of social cognition based on their atypical daily interactions. Copyright © 2004 John Wiley & Sons, Ltd.     

Airport Servicescape,Approach Intentions,and the Mediating Role of Perceived Merchandise Value and Shopping Value1

Despite the large body of work on approach intentions in airport servicescapes, literature considering cognitive evaluations as a possible mediator is lacking. The aim of this study is to address this gap in literature by investigating the effect of an airport servicescape environment on approach intentions through cognitive evaluations on the foundation of the stimulus–organism–response framework. Data of 484 passengers at Chinese international airports were collected. Overall, perceived merchandise value significantly mediated the relationship between airport servicescapes and approach intentions; perceived merchandise value and shopping value acted as chain mediators between airport servicescapes and approach intentions. The theoretical implications are discussed, and the results could be used by airport stores to achieve higher approach intentions.