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Speech AI tools encompass a range of technologies for processing and generating human speech. These include automatic speech recognition (ASR) for transcribing spoken words, text-to-speech (TTS) for converting text into natural-sounding audio, and voice cloning for replicating specific voices. Notable examples include Google’s WaveNet and OpenAI’s Whisper. These tools find applications in virtual assistants, accessibility solutions, and content creation. Advanced features like real-time translation and emotion detection are expanding their capabilities. Speech AI is rapidly evolving, with improvements in naturalness and multilingual support driving adoption across industries. As these technologies continue to advance, they promise to revolutionize human-computer interaction and break down language barriers.