Each sequence is presented as an arc or custom track, with length proportionally mapped. Colored ribbons represent alignment regions between sequences, supporting coloring by similarity or source.

Abstract: We present SegINR, a novel approach to neural Text-to-Speech (TTS) that eliminates the need for either an auxiliary duration predictor or autoregressive (AR) sequence modeling for alignment.

Abstract: Multiple access (MA) is a crucial part of any wireless system and refers to techniques that make use of the resource dimensions (e.g., time, frequency, power, antenna, code, and message) to ...