Results 91 to 100 of about 460,856 (296)
Monaural Speech Separation Using Speaker Embedding From Preliminary Separation
, 2021 In speech separation, the identities of the speakers may be an important cue to discriminate speeches in the mixture and separate them better. A few recent researches used the speaker embedding as an additional information, but they often require prior ...
Byun, Jaeuk, Shin, Jong Won
core +1 more source
Advanced Materials Technologies, EarlyView.Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi +3 more
wiley +1 more source
Post-Training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models [PDF]
Automated speaker identification (SID) is a crucial step for the personalization of a wide range of speech-enabled services. Typical SID systems use a symmetric enrollment-verification framework with a single model to derive embeddings both offline for ...
Desplanques, Brecht +4 more
core +1 more source
Speaker Diarization: Its Developments, Applications, And Challenges [PDF]
, 2012 Multimedia computing is an emerging research area with a wide range of possibilities for various types of digital media. For instance television, movie, audio broadcast, and meeting recordings can be analysed to derive semantic value.
Hernawan , Sulistyanto
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Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Personalized Speech Enhancement Without a Separate Speaker Embedding Model [PDF]
Personalized speech enhancement (PSE) models can improve the audio quality of teleconferencing systems by adapting to the characteristics of a speaker's voice.
Saabas, Ando, Pärnamaa, Tanel
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Learning noise robust ResNet-based speaker embedding for speaker recognition
, 2022 International audienceThe presence of background noise and reverberation, especially in far distance speech utterances diminishes the performance of speaker recognition systems. This challenge is addressed on different levels from the signal level in the
Matrouf, Driss +5 more
core
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Utterance-Style-Dependent Speaker Verification Using Emotional Embedding with Pretrained Models
SensorsBiometric authentication using human physiological and behavioral characteristics has been widely adopted, with speaker verification attracting attention due to its convenience and noncontact nature.
Long Pham Hoang +4 more
doaj +1 more source