Robust Speaker Recognition in Noisy Conditions

This paper investigates the problem of speaker identi-fication and verification in noisy conditions, assuming that speechsignals are corrupted by environmental noise, but knowledgeabout the noise characteristics is not available. This research ismotivated in part by the potential application of speaker recog-nition technologies on handheld devices or the Internet. Whilethe technologies promise an additional biometric layer of securityto protect the user, the practical implementation of such systemsfaces many challenges. One of these is environmental noise. Due tothe mobile nature of such systems, the noise sources can be highlytime-varying and potentially unknown. This raises the require-ment for noise robustness in the absence of information about thenoise. This paper describes a method that combines multicondi-tion model training and missing-feature theory to model noisewith unknown temporal-spectral characteristics. Multiconditiontraining is conducted using simulated noisy data with limitednoise variation, providing a “coarse” compensation for the noise,and missing-feature theory is applied to refine the compensationby ignoring noise variation outside the given training conditions,thereby reducing the training and testing mismatch. This paperis focused on several issues relating to the implementation of thenew model for real-world applications. These include the gener-ation of multicondition training data to model noisy speech, thecombination of different training data to optimize the recognitionperformance, and the reduction of the model’s complexity. Thenew algorithm was tested using two databases with simulated andrealistic noisy speech data. The first database is a redevelopmentof the TIMIT database by rerecording the data in the presence ofvarious noise types, used to test the model for speaker identifica-tion with a focus on the varieties of noise. The second database isa handheld-device database collected in realistic noisy conditions,used to further validate the model for real-world speaker verifica-tion. The new model is compared to baseline systems and is foundto achieve lower error rates.

Psychological and social profile of family caregivers upon commencement of palliative care provision

Context
Palliative care services are required to support patients who have advanced, life-threatening, noncurable disease, and their family caregivers. Comprehensive psychological and social support for bereaved family members also is expected. However, recent systematic reviews have demonstrated significant gaps in evidence-based approaches for such support. Furthermore, a comprehensive understanding of the psychological and social response to the family caregiver role is required for support to be optimized.

Objectives
We sought to examine the psychological and social profile of family caregivers on commencement of receiving palliative care services.

Methods
A self-report questionnaire was administered to primary family caregivers of patients within two weeks of admission to three palliative care services in Melbourne, Australia. The questionnaire incorporated six instruments that measured 11 family caregiver-related psychosocial factors; four instruments that measured caregiver psychological distress factors; 14 mental health lifetime risk factors; and a sociodemographic questionnaire.

Results
Three hundred and two family caregivers participated. Nearly half (44%) of the caregivers had a probable anxiety and/or depressive disorder, with 40% scoring more than the cutoff score for probable anxiety and 20% scoring more than the cutoff score for probable depression. Additionally, approximately 15% of caregivers met the criteria for pre-loss grief, and around 10% reported moderate to severe levels of demoralization. Caregivers who had a probable anxiety and/or depressive disorder also reported higher levels of pre-loss grief.

Conclusion
This study provides further evidence of the prevalence of poor psychosocial well-being in this population. The results reinforce the need to develop suitable strategies for psychological and social support for family caregivers.