Episode 16 — Speech Recognition and Generation
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.
