Introducing Real-Time Multichannel Speech-to-Text

Organizations working with stereo audio often face a difficult choice. In many contact center, conversational AI, and communication scenarios, participants are already recorded on separate channels. Keeping those channels separate provides valuable conversational context, especially when speakers overlap or interrupt each other. Yet supporting channel-separated transcription has traditionally required additional complexity. Teams often split audio channels and build parallel transcription pipelines, increasing operational overhead and, in many cases, processing costs. Others merge channels int