Results 81 to 90 of about 231,551 (186)

Meta-learning with Latent Space Clustering in Generative Adversarial Network for Speaker Diarization. [PDF]

IEEE/ACM Trans Audio Speech Lang Process, 2021
Pal M, Kumar M, Peri R, Park TJ, Kim SH, Lord C, Bishop S, Narayanan S.   +7 more
europepmc   +1 more source

Beyond Uniform Forgiveness: Introducing the Selective Collar to Mitigate Evaluation Bias in Speaker Diarization

IEEE Access
The inclusion of forgiveness collars is a standard practice in computing the Diarization Error Rate (DER) to mitigate human annotation inconsistencies. However, the conventional implementation of static, uniform collars presents a critical methodological
Shah Manan Vinod, Prajat Paul, Syed Usama Hussain Shah Bukhari, Md. Jobayer Hossain Chowdhury, Ashir Ahmed   +4 more
doaj   +1 more source

Speaker Diarization

, 2011
This work aims at a task of speaker diarization. The goal is to implement a system which is able to decide "who spoke when". Particular components of implementation are described.
Tomášek, Pavel
core   +1 more source

Privacy-Oriented Manipulation of Speaker Representations

IEEE Access
Speaker embeddings are ubiquitous, with applications ranging from speaker recognition and diarization to speech synthesis and voice anonymization. The amount of information held by these embeddings lends them versatility but also raises privacy concerns.
Francisco Teixeira, Alberto Abad, Bhiksha Raj, Isabel Trancoso   +3 more
doaj   +1 more source

ODESSA at Albayzin Speaker Diarization Challenge 2018

, 2018
International audienceThis paper describes the ODESSA submissions to the Albayzin Speaker Diarization Challenge 2018. The challenge addresses the diarization of TV shows.
Jose Patino, Ruiqing Yin, Evans, Nicholas, Hervé Bredin, Nicholas Evans, Bredin, Hervé, Héctor Delgado, Patino, Jose, Claude Barras, Barras, Claude, Yin, Ruiqing, Delgado, Héctor   +11 more
core   +1 more source

A Review of Common Online Speaker Diarization Methods [PDF]

Speaker diarization provides the answer to the question who spoke when? for an audio file. This information can be used to complete audio transcripts for further processing steps. Most speaker diarization systems assume that the audio file is available
Schacht, Sigurd, Aperdannier, Roman, Piazza, Alexander   +2 more
core   +1 more source

diaLogic: A Multi-Modal Framework for Automated Team Behavior Modeling Based on Speech Acquisition

Multimodal Technologies and Interaction
This paper presents diaLogic, a humans-in-the-loop system for modeling the behavior of teams during collective problem solving. Team behavior is modeled using multi-modal data about cognition, social interactions, and emotions acquired from speech inputs.
Ryan Duke, Alex Doboli
doaj   +1 more source

Whisper Automatic Speech Recognition and GPT Large Language Models as Best Practice for Assessing Communication Progress in Autism Spectrum Disorder

Jurnal Teknologi Pendidikan
Autism Spectrum Disorder (ASD) is a developmental disorder that affects communication, social interaction, and behavior. Communication assessments for children with ASD are often conducted manually, making the process time-consuming, which can lead to ...
Naela Fauzul Muna, Mukhammad Andri Setiawan   +1 more
doaj   +1 more source

Speaker Diarization Utilizando LSTM e Spectral Clustering [PDF]

, 2019
TCC(graduação) - Universidade Federal de Santa Catarina. Centro Tecnológico. Engenharia Eletrônica.Este trabalho apresenta um sistema de Speaker Diarization.
Fernandes, Bruno Griep
core  

Exploring AI Techniques for Generalizable Teaching Practice Identification

IEEE Access
Using automated models to analyze classroom discourse is a valuable tool for educators to improve their teaching methods. In this paper, we focus on exploring alternatives to ensure the generalizability of models for identifying teaching practices across
Federico Pardo Garcia, Oscar Canovas, Felix J. Garcia Clemente   +2 more
doaj   +1 more source