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Keyword Spotting Implementation to Mobil Phone (Symbian 60)
Cipr, Tomáš ; Schwarz, Petr (referee) ; Szőke, Igor (advisor)
Keyword spotting is one of the many applications of automatic speech recognition. Its purpose is determining spots in given utterance in which some of the specified words were spoken. Keyword spotting has a great potential to enhance performance of new applications as well as the existing ones. An example could be a mobile phone voice control. Due to OS Symbian's coming to the market it is even possible for end user to implement a keyword spotting for a mobile phone on his or her own. The thesis describes theoretical prerequisites for keyword spotting and its implementation. Firstly the OS Symbian is presented with respect to the given task. Secondly each step of keyword spotting process is described. Finally the object design of keyword spotter is presented followed by implementation description. The thesis concludes with results review and notes on possible improvements.
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Acoustic Scene Classification from Speech
Dobrotka, Matúš ; Glembek, Ondřej (referee) ; Matějka, Pavel (advisor)
The topic of this thesis is an audio recording classification with 15 different acoustic scene classes that represent common scenes and places where people are situated on a regular basis. The thesis describes 2 approaches based on GMM and i-vectors and a fusion of the both approaches. The score of the best GMM system which was evaluated on the evaluation dataset of the DCASE Challenge is 60.4%. The best i-vector system's score is 68.4%. The fusion of the GMM system and the best i-vector system achieves score of 69.3%, which would lead to the 20th place in the all systems ranking of the DCASE 2017 Challenge (among 98 submitted systems from all over the world).
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Multitone Modulation Implemented via Filter Bank
Krajsa, Ondřej ; Vlček, Čestmír (referee) ; Róka, Rastislav (referee) ; Šilhavý, Pavel (advisor)
The work is focused on multitone modulation implemented by filter banks, which are alternative modulations to DMT and OFDM modulations. The paper describes the two proposed modulation schemes, non-overlapped FMT and half-overlapped FMT. This modulations utilize the benefits of implementing FFT algorithm in conjunction with a bank of polyphase filters that are derived from the prototype filter. To design the prototype filter a Matlab tool is developed. For both modulations the simulation models were created for xDSL systems and for wireless transmission channel. Non-overlapped FMT modulation proved to be a suitable modulation scheme for channels with narrowband interference and sharp edges in the transmission function of the channel. It was allowed by perfect separation of each subchannel and with preserving the orthogonality between subchannels using the FFT algorithm and utilization of appropriate filters. Half-overlapped FMT modulation allows as well as the DMT modulation optimal utilization of provided transmittion band, because the power spectral density of the signal is flat. But it is not suitable for transmission channels with roughly shaped by changes in the transmission function and narrowband interference. Optimization implementations were designed using parallel processing on the DSP Texas Instruments TMS320C67x series. It thus achieved almost ten-fold reduction in computational complexity. In FMT modulation both options ensure increased signal to noise ratio and thus allow the use of constellation diagrams with a large number of signal elements with the same transmit power and also higher transmission speed.
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Acoustic Scene Classification from Speech
Dobrotka, Matúš ; Glembek, Ondřej (referee) ; Matějka, Pavel (advisor)
The topic of this thesis is an audio recording classification with 15 different acoustic scene classes that represent common scenes and places where people are situated on a regular basis. The thesis describes 2 approaches based on GMM and i-vectors and a fusion of the both approaches. The score of the best GMM system which was evaluated on the evaluation dataset of the DCASE Challenge is 60.4%. The best i-vector system's score is 68.4%. The fusion of the GMM system and the best i-vector system achieves score of 69.3%, which would lead to the 20th place in the all systems ranking of the DCASE 2017 Challenge (among 98 submitted systems from all over the world).
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Keyword Spotting Implementation to Mobil Phone (Symbian 60)
Cipr, Tomáš ; Schwarz, Petr (referee) ; Szőke, Igor (advisor)
Keyword spotting is one of the many applications of automatic speech recognition. Its purpose is determining spots in given utterance in which some of the specified words were spoken. Keyword spotting has a great potential to enhance performance of new applications as well as the existing ones. An example could be a mobile phone voice control. Due to OS Symbian's coming to the market it is even possible for end user to implement a keyword spotting for a mobile phone on his or her own. The thesis describes theoretical prerequisites for keyword spotting and its implementation. Firstly the OS Symbian is presented with respect to the given task. Secondly each step of keyword spotting process is described. Finally the object design of keyword spotter is presented followed by implementation description. The thesis concludes with results review and notes on possible improvements.
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Multitone Modulation Implemented via Filter Bank
Krajsa, Ondřej ; Vlček, Čestmír (referee) ; Róka, Rastislav (referee) ; Šilhavý, Pavel (advisor)
The work is focused on multitone modulation implemented by filter banks, which are alternative modulations to DMT and OFDM modulations. The paper describes the two proposed modulation schemes, non-overlapped FMT and half-overlapped FMT. This modulations utilize the benefits of implementing FFT algorithm in conjunction with a bank of polyphase filters that are derived from the prototype filter. To design the prototype filter a Matlab tool is developed. For both modulations the simulation models were created for xDSL systems and for wireless transmission channel. Non-overlapped FMT modulation proved to be a suitable modulation scheme for channels with narrowband interference and sharp edges in the transmission function of the channel. It was allowed by perfect separation of each subchannel and with preserving the orthogonality between subchannels using the FFT algorithm and utilization of appropriate filters. Half-overlapped FMT modulation allows as well as the DMT modulation optimal utilization of provided transmittion band, because the power spectral density of the signal is flat. But it is not suitable for transmission channels with roughly shaped by changes in the transmission function and narrowband interference. Optimization implementations were designed using parallel processing on the DSP Texas Instruments TMS320C67x series. It thus achieved almost ten-fold reduction in computational complexity. In FMT modulation both options ensure increased signal to noise ratio and thus allow the use of constellation diagrams with a large number of signal elements with the same transmit power and also higher transmission speed.
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