Results 101 to 110 of about 460,856 (296)
Speaker Embeddings to Improve Tracking of Intermittent and Moving Speakers
2025 33rd European Signal Processing Conference (EUSIPCO)33rd European Signal Processing Conference (EUSIPCO 2025), Sep 2025, Palerme (Italie ...
Iatariene, Taous +3 more
openaire +4 more sources
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Variants of LSTM cells for single-channel speaker-conditioned target speaker extraction
EURASIP Journal on Audio, Speech, and Music ProcessingSpeaker-conditioned target speaker extraction aims at estimating the target speaker from a mixture of speakers utilizing auxiliary information about the target speaker.
Ragini Sinha +2 more
doaj +1 more source
Comparison of Modern Deep Learning Models for Speaker Verification
Applied SciencesThis research presents an extensive comparative analysis of a selection of popular deep speaker embedding models, namely WavLM, TitaNet, ECAPA, and PyAnnote, applied in speaker verification tasks.
Vitalii Brydinskyi +6 more
doaj +1 more source
Deep CNNs With Self-Attention for Speaker Identification
IEEE Access, 2019 Most current works on speaker identification are based on i-vector methods; however, there is a marked shift from the traditional i-vector to deep learning methods, especially in the form of convolutional neural networks (CNNs).
Nguyen Nang An +2 more
doaj +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
IEEE AccessDeep learning has witnessed extensive application within speaker verification (SV) in recent years, particularly in feature extraction or embedding features. This study delves into examining the impact of noise and Global System for Mobile Communications
Mohammed Hamzah Alsalihi, David Sztaho
doaj +1 more source
Speaker Verification in Multi-Speaker Environments Using Temporal Feature Fusion
, 2022 Verifying the identity of a speaker is crucial in modern human-machine interfaces, e.g., to ensure privacy protection or to enable biometric authentication.
Mack, Wolfgang +3 more
core
Cross-Lingual Speaker Discrimination Using Natural and Synthetic Speech [PDF]
, 2011 This paper describes speaker discrimination experiments in which native English listeners were presented with either natural speech stimuli in English and Mandarin, synthetic speech stimuli in English and Mandarin, or natural Mandarin speech and ...
Wester, Mirjam; id_orcid +2 more
core +3 more sources
Light‐Driven Quadrupedal Walking Biohybrid Robot With Antagonistic Muscle‐Rings and Inclined Joints
Advanced Robotics Research, EarlyView.This work presents a light‐driven quadrupedal walking biohybrid robot powered by antagonistic muscle‐rings that achieve alternating walking gait. Optical training improved reproducibility of cultured muscle tissues, while caffeine treatment enhanced contractile force.
Shotaro Saito +5 more
wiley +1 more source