Найти книгу: "Lancelot and the Lord of the Distant Isles"

Lancelot, the heroic stranger in King Arthur's court, sacrifices all in service of his king, and yet also falls in love with Arthur's queen, the most beautiful woman in Britain.

Greisa Rezerforda ir skaista, gudra un neatkariga. Un vina dzivo laika, kad par labu ipasibu tiktu uzskatita tikai pirma. Tomer Greisai nav valas par to satraukties – dienas vina vada, stradajot reklamas agentura, budama viena no retajam sievietem, kuram lauts darit sadu darbu. Naktis Greisa apmekle labakas kafejnicas, dzer izsmalcinatus dzerienus, dejo carlstonu un iepazistas ar intrigejosiem cilvekiem. Naksnigie piedzivojumi tiek aprakstiti avizes sleja, kuru Greisa raksta ar pseidonimu, savu alter ego – cinisko un aspratigo Dimanti Griezni, kuras asa mele nezelo nevienu. Reiz Londona ierodas divi noslepumaini svesinieki – demoniski pievilcigs rakstnieks un kads valdzinoss dzentlmenis. Abi viriesi sasupo Greisas skietami erto, bohemisko ikdienu, uzjundot jautajumus, no kuriem Greisa lidz sim izvairijusies. Vai sievietes dubulta dzive ir alkas pec baudas un piedzivojumiem? Vai varbut ta ir begsana no sevis un pagatnes atspulgiem, kuri atstajusi neizdzesamas pedas tagadne.

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.