Evaluation of Attention Mechanisms on Text to Speech

Attention mechanisms have been widely used in sequence to sequence tasks. Among those tasks, attention-based neural text to speech synthesis with monotonic property has shown a powerful ability to generate natural speech. This paper introduces three different attention mechanisms designed to utilize the strict monotonic property and evaluates them in a multi-speaker TTS task.