3 accepted papers
Neural vocoders model the raw audio waveform and synthesize high-quality audio, but even the highly efficient ones, like MB-MelGAN and LPCNet, fail to run real-time on a low-end device like a smartglass. A pure digital signal processing (DSP) based vocoder can be implemented via lightweight fast Fou…
Low bitrate speech codecs have become an area of intense research. Traditional speech codecs, which use signal processing methods to encode and decode speech, often suffer from quality issues at low bitrates. A neural speech codec, which uses a deep neural network in the compression pipeline, can he…
State of the art text-to-speech (TTS) models can generate high fidelity monolingual speech, but it is still challenging to synthesize multilingual speech from the same speaker. One major hurdle is for training data. It’s hard to find speakers who have native proficiency in several languages. One way…