Essays about: "asr"
Showing result 26 - 30 of 37 essays containing the word asr.
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26. Investigate more robust featuresfor Speech Recognition usingDeep Learning
University essay from KTH/KommunikationsteoriAbstract : The new electronic devices and their constant progress brought up the chal-lenge of improving the speech recognitions systems. Indeed, people tend touse more and more hands-free devices that are inclined to be used in noisyenvironments. READ MORE
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27. Machine Learning for Text-Independent Speaker Verification : How to Teach a Machine to RecognizeHuman Voices
University essay from KTH/Skolan för elektro- och systemteknik (EES)Abstract : The aim of speaker recognition and veri cation is to identify people's identity from the characteristics of their voices (voice biometrics). Traditionally this technology has been employed mostly for security or authentication purposes, identi cation of employees/customers and criminal investigations. READ MORE
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28. Achieving Automatic Speech Recognition for Swedish using the Kaldi toolkit
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : The meager offering of online commercial Swedish Automatic Speech Recognition ser-vices prompts the effort to develop a speech recognizer for Swedish using the open sourcetoolkit Kaldi and publicly available NST speech corpus. Using a previous Kaldi recipeseveral GMM-HMM models are trained and evaluated against commercial options toallow for reasoning of the performance of a customized solution for Automatic SpeechRecognition to that of commercial services. READ MORE
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29. Speech Recognition System for Noisy Environment
University essay from Högskolan i Gävle/Avdelningen för elektronik, matematik och naturvetenskapAbstract : With the development of big data computing, the speech recognition has been popular for serving human’s life. However, when place the speech recognition system into noisy environments, the background noises greatly degrades the speech recognition system accuracy as it adds in unuseful information into the desired speech. READ MORE
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30. A critical examination of deep learningapproaches to automated speech recognition
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Recently, deep learning techniques have been successfully applied to automatic speech recognition (ASR) tasks. Most current speech recognition systems use Hidden Markov Models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) are exploited to model the emission probability of the HMM. READ MORE