We present an attention-based sequence-to-sequence neural network which can directly
translate speech from one language into speech in another language, without relying on an …

This paper proposes a novel way of doing audio synthesis at the waveform level using
Transformer architectures. We propose a deep neural network for generating waveforms …

Speech-to-speech translation (S2ST) has evolved from cascade systems which integrate
Automatic Speech Recognition (ASR), Machine Translation (MT), and Text-to-Speech (TTS) …

This report will explore and answer fundamental questions about taking Fourier Transforms
and tying it with recent advances in AI and neural architecture. One interpretation of the …

Studies of speech-to-speech machine translation for Turkic languages are practically absent
due to the difficulties of creating parallel speech corpora for training neural models …

Speech-to-speech translation tasks are commonly tackled by using a three-level cascade
system which comprises of speech recognition, machine translation, and speech synthesis …

We present a framework to model the perceived quality of audio signals by combining
convolutional architectures, with ideas from classical signal processing, and describe an …