Speech Recognition with unknown partial feature corruption - a review of the union model

This paper provides a summary of our studies on robust speech recognition based on a new statistical approach – the probabilistic union model. We consider speech recognition given that part of the acoustic features may be corrupted by noise. The union model is a method for basing the recognition on the clean part of the features, thereby reducing the effect of the noise on recognition. To this end, the union model is similar to the missing feature method. However, the two methods achieve this end through different routes. The missing feature method usually requires the identity of the noisy data for noise removal, while the union model combines the local features based on the union of random events, to reduce the dependence of the model on information about the noise. We previously investigated the applications of the union model to speech recognition involving unknown partial corruption in frequency band, in time duration, and in feature streams. Additionally, a combination of the union model with conventional noise-reduction techniques was studied, as a means of dealing with a mixture of known or trainable noise and unknown unexpected noise. In this paper, a unified review, in the context of dealing with unknown partial feature corruption, is provided into each of these applications, giving the appropriate theory and implementation algorithms, along with an experimental evaluation.

Review of Research on Speech Technology: Main Contributions From Spanish Research Groups

In the last two decades, there has been an important increase in research on speech technology in Spain, mainly due to a higher level of funding from European, Spanish and local institutions and also due to a growing interest in these technologies for developing new services and applications. This paper provides a review of the main areas of speech technology addressed by research groups in Spain, their main contributions in the recent years and the main focus of interest these days. This description is classified in five main areas: audio processing including speech, speaker characterization, speech and language processing, text to speech conversion and spoken language applications. This paper also introduces the Spanish Network of Speech Technologies (RTTH. Red Temática en Tecnologías del Habla) as the research network that includes almost all the researchers working in this area, presenting some figures, its objectives and its main activities developed in the last years.

Review of the speech of Harrison Gray Otis, mayor of the city of Boston, delivered at a public meeting of the friends of the protecting system, in that city, in the support of the nomination of a friend of that system, for a member of Congress.

Mode of access: Internet.

A review of the Rev. Dr. Junkin's synodical speech, in defence of American slavery; delivered September 19th and 20th, and published December 1843: with an outline of the Bible argument against slavery.

Mode of access: Internet.

Clinical supervision in four mental health professions : a review of the evidence

Examines a range of theoretical issues and the empirical evidence relating to clinical supervision in 4 mental health professions: clinical psychology, occupational therapy, social work, and speech pathology. There is widespread acceptance of the value of supervision among practitioners and a large quantity of literature on the topic, but there is very little empirical evidence in this area. To date, there is insufficient evidence to demonstrate which styles of supervision are most beneficial for particular types of staff, in terms of their level of experience or learning style. The data suggest that directive forms of supervision, rather than unstructured approaches, are preferred by relatively inexperienced practitioners, and that experienced clinicians also value direct supervision methods when learning new skills or dealing with complex or crisis situations. The available evidence suggests that supervisors typically receive little training in supervision methods. However, there is little information to guide us as to the most effective ways of training supervisors. While acknowledging the urgent need for research, this paper concludes that supervision is likely to form a valuable component of professional development for mental health professionals.