Speech emotion recognition using 3d convolutions and attention-based sliding recurrent networks with auditory front-ends
Emotion information from speech can effectively help robots understand speaker's intentions
in natural human-robot interaction. The human auditory system can easily track temporal …
in natural human-robot interaction. The human auditory system can easily track temporal …
Multi-resolution modulation-filtered cochleagram feature for LSTM-based dimensional emotion recognition from speech
Continuous dimensional emotion recognition from speech helps robots or virtual agents
capture the temporal dynamics of a speaker's emotional state in natural human–robot …
capture the temporal dynamics of a speaker's emotional state in natural human–robot …
Robust voice activity detection using an auditory-inspired masked modulation encoder based convolutional attention network
Deep learning has revolutionized voice activity detection (VAD) by offering promising
solutions. However, directly applying traditional features, such as raw waveforms and Mel …
solutions. However, directly applying traditional features, such as raw waveforms and Mel …
Relationship between contributions of temporal amplitude envelope of speech and modulation transfer function in room acoustics to perception of noise-vocoded …
Speech signals can be represented as a sum of amplitude-modulated frequency bands. This
sum can also be regarded as a temporal amplitude envelope (TAE) with temporal fine …
sum can also be regarded as a temporal amplitude envelope (TAE) with temporal fine …
Envelope estimation using geometric properties of a discrete real signal
CHT Santos, V Pereira - Digital Signal Processing, 2022 - Elsevier
Despite being an elusive concept, the temporal amplitude envelope of a signal is essential
for its complete characterization, being the primary information-carrying medium in spoken …
for its complete characterization, being the primary information-carrying medium in spoken …
Increasing speech intelligibility and naturalness in noise based on concepts of modulation spectrum and modulation transfer function
T Ngo, R Kubo, M Akagi - Speech Communication, 2021 - Elsevier
This study focuses on identifying effective features for controlling speech to increase speech
intelligibility under adverse conditions. Previous approaches either cancel noise throughout …
intelligibility under adverse conditions. Previous approaches either cancel noise throughout …
Contribution of modulation spectral features on the perception of vocal-emotion using noise-vocoded speech
Previous studies on noise-vocoded speech showed that the temporal modulation cues
provided by the temporal envelope play an important role in the perception of vocal emotion …
provided by the temporal envelope play an important role in the perception of vocal emotion …
[HTML][HTML] Enhancing Dimensional Emotion Recognition from Speech through Modulation-Filtered Cochleagram and Parallel Attention Recurrent Network
Dimensional emotion can better describe rich and fine-grained emotional states than
categorical emotion. In the realm of human–robot interaction, the ability to continuously …
categorical emotion. In the realm of human–robot interaction, the ability to continuously …
[HTML][HTML] Contribution of common modulation spectral features to vocal-emotion recognition of noise-vocoded speech in noisy reverberant environments
In one study on vocal emotion recognition using noise-vocoded speech (NVS), the high
similarities between modulation spectral features (MSFs) and the results of vocal-emotion …
similarities between modulation spectral features (MSFs) and the results of vocal-emotion …
A study of salient modulation domain features for speaker identification
This paper studies the ranges of acoustic and modulation frequencies of speech most
relevant for identifying speakers and compares the speaker-specific information present in …
relevant for identifying speakers and compares the speaker-specific information present in …