Adverse noisy conditions pose great challenges to automatic speech applications including
speaker and language identification (SID and LID), where mel-frequency cepstral …

Popular features for speech processing, such as mel-frequency cepstral coefficients
(MFCCs), are derived from the short-term magnitude spectrum, whereas the phase spectrum …

Once the i-vector paradigm has been introduced in the field of speaker recognition, many
techniques have been proposed to deal with additive noise within this framework. Due to the …

Transcranial direct current stimulation (tDCS) is a noninvasive, safe and convenient neuro-
modulatory technique in neurological rehabilitation, treatment, and other aspects of brain …

State-of-the-art speaker recognition systems performance degrades considerably in noisy
environments even though they achieve very good results in clean conditions. In order to …

Many spectrum estimation methods and speech enhancement algorithms have previously
been evaluated for noise-robust speaker identification (SID). However, these techniques …

The growing demand for robust speech processing applications able to operate in adverse
scenarios calls for new evaluation protocols and datasets beyond artificial laboratory …

In the last years, the i-vector approach became the state-of-the-art in speaker recognition
systems. As in previous approaches, i-vector-based systems suffer greatly in presence of …

In this paper, a simple method for pitch-scale modifications of speech based on a recently
suggested model for AM-FM decomposition of speech signals, is presented. This model is …

In music information retrieval (MIR), dealing with different types of noise is important and the
MIR models are frequently used in noisy environments such as live performances. Recently …