Speech Recognition & Synthesis

AI-powered speech recognition has reached the point where it can transcribe spoken language with impressive accuracy, even handling accents, background noise, and multiple speakers reasonably well. Products like OpenAI's Whisper have made high-quality transcription widely accessible. This has practical applications everywhere - meeting transcription, voice-controlled devices, accessibility tools for the deaf and hard of hearing, and voice input for software. Speech synthesis - generating spoken audio from text - has progressed just as rapidly. Modern text-to-speech systems produce voices that sound natural, expressive, and increasingly difficult to distinguish from real human speech. You can clone a voice from a short sample, adjust tone and emotion, and generate audio in multiple languages. The creative and accessibility applications are enormous, but so are the risks. Voice cloning makes it trivially easy to create convincing fake audio of someone saying something they never said, with obvious implications for fraud, misinformation, and trust. The technology has outpaced the safeguards, and the question of how to verify authentic speech in a world of perfect synthetic voices is one that society is only beginning to grapple with.