Using empirical data from their research study, Thomas Lechler and John Byrne demonstrate that the success of a project strongly depends on the specific attitude of the project manager and the project management decision-making process. They also address: • Limiting effects of the Triple Constraints Paradigm • Role of uncertainty in projects. Leaders within organizations will find the results useful to emphasize and encourage entrepreneurial behaviors of project managers in a way that influences project performance beyond the simple application of tools and techniques. The book addresses several stakeholders, including who are responsible for implementing projects, those who suffer the consequences if things go wrong, and those who are responsible for the selection and development of project managers. The Mindset for Creating Project Value provides insight into how a different perspective is necessary to better understand the limitations of project management in order to better explain the many phenomena that are related to the management of projects and, consequently, to improve the practical outcome.
A complete overview of distant automatic speech recognition The performance of conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon as the microphone is moved away from the mouth of the speaker. This is due to a broad variety of effects such as background noise, overlapping speech from other speakers, and reverberation. While traditional ASR systems underperform for speech captured with far-field sensors, there are a number of novel techniques within the recognition system as well as techniques developed in other areas of signal processing that can mitigate the deleterious effects of noise and reverberation, as well as separating speech from overlapping speakers. Distant Speech Recognitionpresents a contemporary and comprehensive description of both theoretic abstraction and practical issues inherent in the distant ASR problem. Key Features: Covers the entire topic of distant ASR and offers practical solutions to overcome the problems related to it Provides documentation and sample scripts to enable readers to construct state-of-the-art distant speech recognition systems Gives relevant background information in acoustics and filter techniques, Explains the extraction and enhancement of classification relevant speech features Describes maximum likelihood as well as discriminative parameter estimation, and maximum likelihood normalization techniques Discusses the use of multi-microphone configurations for speaker tracking and channel combination Presents several applications of the methods and technologies described in this book Accompanying website with open source software and tools to construct state-of-the-art distant speech recognition systems This reference will be an invaluable resource for researchers, developers, engineers and other professionals, as well as advanced students in speech technology, signal processing, acoustics, statistics and artificial intelligence fields.
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