This paper introduces a dual-signal transformation LSTM network (DTLN) for real-time
speech enhancement as part of the Deep Noise Suppression Challenge (DNS-Challenge) …

The idea that compressed sensing may be used to encrypt information from unauthorized
receivers has already been envisioned but never explored in depth since its security may …

While human evaluation is the most reliable metric for evaluating speech generation
systems, it is generally costly and time-consuming. Previous studies on automatic speech …

We propose a novel pitch estimation technique called DeepF0, which leverages the
available annotated data to directly learns from the raw audio in a data-driven manner. f 0 …

Pitch is a foundational aspect of our perception of audio signals. Pitch contours are
commonly used to analyze speech and music signals and as input features for many audio …

Supervised learning methods are a powerful tool for direction of arrival (DOA) estimation
because they can cope with adverse conditions where simplified models fail. In this work, we …

Classic public switched telephone networks (PSTN) are often a black box for VoIP network
providers, as they have no access to performance indicators, such as delay or packet loss …

The paper presents a pitch estimation technique based on the robust algorithm for pitch
tracking (RAPT) framework. The proposed solution provides estimation of instantaneous …

Sounds, especially music, contain various harmonic components scattered in the frequency
dimension. It is difficult for normal convolutional neural networks to ob-serve these …

This paper analyses the performance of a large bunch of pitch detection algorithms on clean
and noisy speech data. Two sets of noisy speech data are considered. One corresponds to …