Deep spoken keyword spotting: An overview

I López-Espejo, ZH Tan, JHL Hansen, J Jensen - IEEE Access, 2021 - ieeexplore.ieee.org
Spoken keyword spotting (KWS) deals with the identification of keywords in audio streams
and has become a fast-growing technology thanks to the paradigm shift introduced by deep …

Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting

M Sun, A Raju, G Tucker… - 2016 IEEE spoken …, 2016 - ieeexplore.ieee.org
We propose a max-pooling based loss function for training Long Short-Term Memory
(LSTM) networks for small-footprint keyword spotting (KWS), with low CPU, memory, and …

Deep learning-based detection of inappropriate speech content for film censorship

ASB Wazir, HA Karim, HS Lyn, MFA Fauzi… - IEEE …, 2022 - ieeexplore.ieee.org
Audible content has become an effective tool for shaping one's personality and character
due to the ease of accessibility to a huge audible content that could be an independent …

A pitch and noise robust keyword spotting system using SMAC features with prosody modification

K Maity, G Pradhan, JP Singh - Circuits, Systems, and Signal Processing, 2021 - Springer
Spotting of keywords in continuous speech signal with the aid of the computer is called a
keyword spotting (KWS) system. A variety of strategies have been suggested in the literature …

Improving the performance of keyword spotting system for children's speech through prosody modification

S Shahnawazuddin, K Maity, G Pradhan - Digital Signal Processing, 2019 - Elsevier
Searching for words of interest from a speech sequence is referred to as keyword spotting
(KWS). A myriad of techniques have been proposed over the years for effectively spotting …

An empirical study of cross-lingual transfer learning techniques for small-footprint keyword spotting

M Sun, A Schwarz, M Wu, N Strom… - 2017 16th IEEE …, 2017 - ieeexplore.ieee.org
This paper presents our work on building a small-footprint keyword spotting system for a
resource-limited language, which requires low CPU, memory and latency. Our keyword …

Turn-taking, children, and the unpredictability of fun

JF Lehman, I Leite - AI Magazine, 2016 - ojs.aaai.org
When the goal is entertainment, designing language-based interactions between characters
and small groups of young children is a balancing act. On the one hand, an autonomous …

[PDF][PDF] BIOVISUALSPEECH: DEPLOYMENT OF AN INTERACTIVE PLATFORM FOR SPEECH THERAPY SESSIONS WITH CHILDREN

PMA AIRES - 2022 - run.unl.pt
Sigmatism is a speech sound disorder (SSD) that prevents people from correctly
pronouncing sibilant consonant sounds ([Z],[z],[S] and [s]). If left untreated, it can negatively …

Multi-party language interaction in a fast-paced game using multi-keyword spotting

JF Lehman, N Wolfe, A Pereira - … Conference, IVA 2016, Los Angeles, CA …, 2016 - Springer
Existing speech technology tends to be poorly suited for young children at play, both
because of their age-specific pronunciation and because they tend to play together, making …

[PDF][PDF] Diseno de interacción humano-robot para el aprendizaje de las tablas de multiplicación e implementación de los modelos de reconocimiento del habla

BG Carrillo - 2021 - researchgate.net
La estrategia tradicional que usan los ninos para aprender las tablas de multiplicación
mediante la memorización y repetición constante de cada una de las tablas, ha demostrado …