Questions / Methods / Sources
The research map.
Follow explicit connections between people, projects, papers and methods. Each path leads back to a record and its context.
29 connections on this page. Each relationship is authored and published by the bureau.
- PublicationLearnable Fractional Superlets with a Spectro-Temporal Emotion Encoder for Speech Emotion RecognitionTrace its connections →produces
Why this connection?
The linked repository contains the research implementation associated with this study.
Read the source ↗ - documents
Why this connection?
This dossier brings together the study and its related methods and software.
Read the source ↗ - PublicationFrom unaltered raw waveform to emotion: Synergizing convolutional and gated recurrent networks for holistic speech emotion analysisTrace its connections →produces
Why this connection?
The linked repository contains the research implementation associated with this study.
Read the source ↗ - documents
Why this connection?
This dossier brings together the study and its related methods and software.
Read the source ↗ - PublicationMultimodal Emotion Recognition with Cross-Attentive Learning and Feature FusionTrace its connections →produces
Why this connection?
The linked repository contains the research implementation associated with this study.
Read the source ↗ - documents
Why this connection?
This dossier brings together the study and its related methods and software.
Read the source ↗ - PublicationNeural Wavelet Packet-Based Bidirectional Autoencoder for Multi-Resolution Speech EnhancementTrace its connections →produces
Why this connection?
The linked repository contains the research implementation associated with this study.
Read the source ↗ - documents
Why this connection?
This dossier brings together the study and its related methods and software.
Read the source ↗ - PublicationLearnable Deep Wavelet Packet Transform for Speech Emotion Recognition in High-Risk Suicide CallsTrace its connections →produces
Why this connection?
The linked repository contains the research implementation associated with this study.
Read the source ↗ - documents
Why this connection?
This dossier brings together the study and its related methods and software.
Read the source ↗ - PublicationSigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion RecognitionTrace its connections →produces
Why this connection?
The linked repository contains the research implementation associated with this study.
Read the source ↗ - documents
Why this connection?
This dossier brings together the study and its related methods and software.
Read the source ↗ - PublicationDeep Multiresolution Wavelet Transform for Speech Emotion Assessment of High-Risk Suicide CallersTrace its connections →produces
Why this connection?
The linked repository contains the research implementation associated with this study.
Read the source ↗ - documents
Why this connection?
This dossier brings together the study and its related methods and software.
Read the source ↗ - PublicationUnveiling hidden factors: explainable AI for feature boosting in speech emotion recognitionTrace its connections →produces
Why this connection?
The linked repository contains the research implementation associated with this study.
Read the source ↗ - documents
Why this connection?
This dossier brings together the study and its related methods and software.
Read the source ↗ - PublicationUnlocking the Emotional States of High-Risk Suicide Callers through Speech AnalysisTrace its connections →produces
Why this connection?
The linked repository contains the research implementation associated with this study.
Read the source ↗ - documents
Why this connection?
This dossier brings together the study and its related methods and software.
Read the source ↗ - PublicationIterative Feature Boosting for Explainable Speech Emotion RecognitionTrace its connections →produces
Why this connection?
The linked repository contains the research implementation associated with this study.
Read the source ↗ - documents
Why this connection?
This dossier brings together the study and its related methods and software.
Read the source ↗ - PublicationCNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networksTrace its connections →produces
Why this connection?
The linked repository contains the research implementation associated with this study.
Read the source ↗ - documents
Why this connection?
This dossier brings together the study and its related methods and software.
Read the source ↗ - investigates
Why this connection?
Studying the relationship between audio, text and video through cross-attention and feature fusion.
- investigates
Why this connection?
Using feature attribution to refine acoustic representations and examine model decisions.
- investigates
Why this connection?
A research file connecting learned wavelets, wavelet packets, denoising and fractional superlets.
- investigates
Why this connection?
CNN-n-GRU and related speech-analysis studies connect local acoustic patterns with temporal dependencies.
- uses a method from
Why this connection?
This guide explains the methodological stages used in the studies collected by the dossier.
- uses a method from
Why this connection?
This guide explains the methodological stages used in the studies collected by the dossier.
- uses a method from
Why this connection?
This guide explains the methodological stages used in the studies collected by the dossier.