Results 41 to 50 of about 460,856 (296)
On deep speaker embeddings for text-independent speaker recognition [PDF]
The Speaker and Language Recognition Workshop (Odyssey 2018), 2018 We investigate deep neural network performance in the textindependent speaker recognition task. We demonstrate that using angular softmax activation at the last classification layer of a classification neural network instead of a simple softmax activation allows to train a more generalized discriminative speaker embedding extractor.
Sergey Novoselov +4 more
openaire +3 more sources
Sequence-to-Sequence Emotional Voice Conversion With Strength Control
IEEE Access, 2021 This paper proposes an improved emotional voice conversion (EVC) method with emotional strength and duration controllability. EVC methods without duration mapping generate emotional speech with identical duration to that of the neutral input speech.
Heejin Choi, Minsoo Hahn
doaj +1 more source
Leveraging deep speaker embedding variability factors for verification and diarization
, 2023 The tasks of speaker verification (SV, determining whether a test utterance has the same speaker as an enrolment utterance) and speaker diarization (SD, determining ‘who spoke when?’) both fall under the umbrella of speaker recognition tasks.
Luu, Chau Van Quy
core +1 more source
Generalized Score Comparison-Based Learning Objective for Deep Speaker Embedding
IEEE AccessIn state-of-the-art speaker verification systems, speaker embeddings are trained to be closer to the target speaker prototype, which is either obtained from the other speech samples or constructed with trainable parameters.
Min Hyun Han, Sung Hwan Mun, Nam Soo Kim
doaj +1 more source
Development of Supervised Speaker Diarization System Based on the PyAnnote Audio Processing Library
Sensors, 2023 Diarization is an important task when work with audiodata is executed, as it provides a solution to the problem related to the need of dividing one analyzed call recording into several speech recordings, each of which belongs to one speaker.
Volodymyr Khoma +3 more
doaj +1 more source
SPEAKER VGG CCT: Cross-corpus Speech Emotion Recognition with Speaker Embedding and Vision Transformers [PDF]
, 2022 In recent years, Speech Emotion Recognition (SER) has been investigated mainly transforming the speech signal into spectrograms that are then classified using Convolutional Neural Networks pretrained on generic images and fine tuned with spectrograms. In
Arezzo, A., Berretti, S.
core
Zero-Shot Voice Cloning Text-to-Speech for Dysphonia Disorder Speakers
IEEE AccessDeep neural network based text-to-speech (TTS) technology has brought advances in speech synthesis approaching the quality of human speech sounds. Zero-shot voice cloning TTS is a system that accepts input in the form of text and a few seconds of a ...
Kurniawati Azizah
doaj +1 more source
Liver organoids: modelling complexity in homeostasis and disease
FEBS Letters, EarlyView.Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
Effective Emotion Transplantation in an End-to-End Text-to-Speech System
IEEE Access, 2020 In this paper, we propose an effective technique to transplant a source speaker’s emotional expression to a new target speaker’s voice within an end-to-end text-to-speech (TTS) framework.
Young-Sun Joo +4 more
doaj +1 more source
Attitudes of cancer patients toward ctDNA‐based liquid biopsy for follow‐up
Molecular Oncology, EarlyView.This mixed‐methods study explored cancer patients' experiences, knowledge, and preferences regarding ctDNA‐based liquid biopsy for follow‐up. Awareness of ctDNA was low and recall of previous liquid biopsy was imperfect, yet acceptance was high.
Siddharth Chhajlani +7 more
wiley +1 more source