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Episode 16 — Speech Recognition and Generation
Manage episode 505486167 series 3689029
Jason Edwards에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Jason Edwards 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Speech is one of the most natural ways humans communicate, and AI systems are increasingly able to listen and respond. This episode covers speech recognition, the conversion of audio into text, and speech generation, the production of lifelike voice outputs. We trace the path from early statistical methods like hidden Markov models to deep learning architectures that now dominate. You’ll learn about acoustic modeling, language modeling, phoneme recognition, and modern end-to-end systems capable of transcribing in real time.
Practical applications show why speech technologies matter. Virtual assistants like Siri and Alexa, call center bots, medical dictation, and real-time translation tools all depend on accurate recognition and natural-sounding generation. We also discuss personalization, emotional tone, and risks such as bias across accents and the rise of deepfake audio. Speech AI is more than convenience; it is becoming a core interface between humans and machines. Produced by BareMetalCyber.com, where you’ll find more cyber prepcasts, books, and information to strengthen your certification path.
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