How ASR and TTS Are Enabling Speech to Speech Communication
For most of the last decade, voice technology meant two separate jobs. One system listened and turned sound into text. Another system read text aloud in a robotic monotone. Getting from a spoken sentence in one language to a spoken sentence in another meant stitching together several tools, each with its delay, its errors, and its accent problems. That stitched-together approach is disappearing fast, and the reason comes down to two technologies working in much closer coordination than before: automatic speech recognition (ASR) and text to speech (TTS) . How does ASR work? Automatic speech recognition is the listening layer. It takes raw audio, a customer call, a voice note, or a spoken query and converts it into text the machine can work with. Clean audio is not a challenge The most challenging part has never been recognising speech that is clear, slow, and spoken in a single accent. It has been recognising real speech, which includes: Overlapping voices in group settings Regional ac...