This Is An extract in English of Pierre Pinna's Interview on CNN Turkey. IPFC Online Founder and CEO Pierre Pinna, one of the world-renowned names in artificial intelligence and digital transformation issues that brings together entrepreneurial companies in Turkey, national and international investors, participated at the T-Bootcamp event in Izmir, explaining the future. One of the most important meeting points of entrepreneurs and investors, the T-Bootcamp event, which emphasizes the innovation efforts in Turkey, was organized at the Selçuk Yaşar Campus in Izmir with the cooperation of Yaşar University Minerva Incubation Center and technology platform creation agency WBCONS-HD. Among the leading names in the world of artificial intelligence and digital convergence, IPFC Online Founder and CEO Pierre Pinna, Fintech and Blockchain applications that are rapidly expanding include Inclusivity Network Founder Antonio Javier Ruiz, Peak State Consulting Director Anuj Khanna, Technology and Human College Founder Zeynep Dereli and entrepreneurs from Izmir and Istanbul participated as speakers. Entrepreneurs brought in prominent projects.

This Is An extract in English of Pierre Pinna's Interview on CNN Turkey. IPFC Online Founder and CEO Pierre Pinna, one of the world-renowned names in artificial intelligence and digital transformation issues that brings together entrepreneurial companies in Turkey, national and international investors, participated at the T-Bootcamp event in Izmir, explaining the future. One of the most important meeting points of entrepreneurs and investors, the T-Bootcamp event, which emphasizes the innovation efforts in Turkey, was organized at the Selçuk Yaşar Campus in Izmir with the cooperation of Yaşar University Minerva Incubation Center and technology platform creation agency WBCONS-HD. Among the leading names in the world of artificial intelligence and digital convergence, IPFC Online Founder and CEO Pierre Pinna, Fintech and Blockchain applications that are rapidly expanding include Inclusivity Network Founder Antonio Javier Ruiz, Peak State Consulting Director Anuj Khanna, Technology and Human College Founder Zeynep Dereli and entrepreneurs from Izmir and Istanbul participated as speakers. Entrepreneurs brought in prominent projects.

We describe the first single microphone sound localization system and its inspiration from theories of human monaural sound localization. Reflections and diffractions caused by the external ear (pinna) allow humans to estimate sound source elevations using only one ear. Our single microphone localization model relies on a specially shaped reflecting structure that serves the role of the pinna. Specially designed analog VLSI circuitry uses echo-time processing to localize the sound. A CMOS integrated circuit has been designed, fabricated, and successfully demonstrated on actual sounds. 1 Introduction The principal cues for human sound localization arise from time and intensity differences between the signals received at the two ears. For low-frequency components of sounds (below 1500Hz for humans), the phase-derived interaural time difference (lTD) can be used to localize the sound source. For these frequencies, the sound wavelength is at least several times larger than the head and the amount of shadowing (which depends on the wavelength of the sound compared with the dimensions of the head) is negligible.

We describe the first single microphone sound localization system and its inspiration from theories of human monaural sound localization. Reflections and diffractions caused by the external ear (pinna) allow humans to estimate sound source elevations using only one ear. Our single microphone localization model relies on a specially shaped reflecting structure that serves the role of the pinna. Specially designed analog VLSI circuitry uses echo-time processing to localize the sound. A CMOS integrated circuit has been designed, fabricated, and successfully demonstrated on actual sounds. 1 Introduction The principal cues for human sound localization arise from time and intensity differences between the signals received at the two ears. For low-frequency components of sounds (below 1500Hz for humans), the phase-derived interaural time difference (lTD) can be used to localize the sound source. For these frequencies, the sound wavelength is at least several times larger than the head and the amount of shadowing (which depends on the wavelength of the sound compared with the dimensions of the head) is negligible.

We describe the first single microphone sound localization system and its inspiration from theories of human monaural sound localization. Reflectionsand diffractions caused by the external ear (pinna) allow humans to estimate sound source elevations using only one ear. Our single microphone localization model relies on a specially shaped reflecting structure that serves the role of the pinna. Specially designedanalog VLSI circuitry uses echo-time processing to localize the sound. A CMOS integrated circuit has been designed, fabricated, and successfully demonstrated on actual sounds. 1 Introduction The principal cues for human sound localization arise from time and intensity differences betweenthe signals received at the two ears. For low-frequency components of sounds (below 1500Hz for humans), the phase-derived interaural time difference (lTD) can be used to localize the sound source. For these frequencies, the sound wavelength is at least several times larger than the head and the amount of shadowing (whichdepends on the wavelength of the sound compared with the dimensions of the head) is negligible.