Essays about: "speech monitoring"
Showing result 1 - 5 of 8 essays containing the words speech monitoring.
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1. Swedish Language End-to-End Automatic Speech Recognition for Media Monitoring using Deep Learning
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : In order to extract relevant information from speech recordings, the general approach is to first convert the audio into transcribed text. The text can then be analysed using well researched methods. NewsMachine AB provides customers with an overview of how they are represented in media by analysing articles in text form. READ MORE
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2. Assessing Explanatory Models of Auditory Verbal Hallucinations
University essay from Umeå universitet/Institutionen för idé- och samhällsstudierAbstract : Many attempts have been made to explain the nature of auditory verbal hallucinations (AVH) or the phenomenon of “hearing voices”. In the contemporary discussion of auditory verbal hallucinations, the raw material of the voices of AVH is seen as either inner speech, a spontaneously activated auditory experience, or imagined speech. READ MORE
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3. Cognate effects in intra-sentential codeswitching in trilinguals - evidence from a read-aloud task
University essay from Lunds universitet/Masterprogram: Språk och språkvetenskap; Lunds universitet/Allmän språkvetenskapAbstract : This thesis examines the effect of cognates on codeswitching in planned speech production in trilinguals, which has previously been unexplored. Previous studies on cognates and codeswitching have primarily focused on cognate facilitation effects in spontaneous speech in bilinguals. READ MORE
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4. Safety of Machine Learning Systems in Autonomous Driving
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Machine Learning, and in particular Deep Learning, are extremely capable tools for solving problems which are difficult, or intractable to tackle analytically. Application areas include pattern recognition, computer vision, speech and natural language processing. READ MORE
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5. Hybrid Model Approach to Appliance Load Disaggregation : Expressive appliance modelling by combining convolutional neural networks and hidden semi Markov models.
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : The increasing energy consumption is one of the greatest environmental challenges of our time. Residential buildings account for a considerable part of the total electricity consumption and is further a sector that is shown to have large savings potential. Non Intrusive Load Monitoring (NILM), i.e. READ MORE