AIMC Topic: Speech Recognition Software

Clear Filters Showing 51 to 60 of 94 articles

Dialogue Systems and Conversational Agents for Patients with Dementia: The Human-Robot Interaction.

Rejuvenation research
This study aimed to identify and describe the fundamental characteristics of spoken dialogue systems, and their role in supporting human-robot interaction and enabling the communication between socially assistive robots and patients with dementia. Fi...

Evaluation of the computational capabilities of a memristive random network (MN) under the context of reservoir computing.

Neural networks : the official journal of the International Neural Network Society
This work presents the simulation results of a novel recurrent, memristive neuromorphic architecture, the MN and explores its computational capabilities in the performance of a temporal pattern recognition task by considering the principles of the re...

Threshold-Based Noise Detection and Reduction for Automatic Speech Recognition System in Human-Robot Interactions.

Sensors (Basel, Switzerland)
This work develops a speech recognition system that uses two procedures of proposed noise detection and combined noise reduction. The system can be used in applications that require interactive robots to recognize the contents of speech that includes...

Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization.

IEEE transactions on neural networks and learning systems
Inspired by the behavior of humans talking in noisy environments, we propose an embodied embedded cognition approach to improve automatic speech recognition (ASR) systems for robots in challenging environments, such as with ego noise, using binaural ...

A hybrid technique for speech segregation and classification using a sophisticated deep neural network.

PloS one
Recent research on speech segregation and music fingerprinting has led to improvements in speech segregation and music identification algorithms. Speech and music segregation generally involves the identification of music followed by speech segregati...

Relating dynamic brain states to dynamic machine states: Human and machine solutions to the speech recognition problem.

PLoS computational biology
There is widespread interest in the relationship between the neurobiological systems supporting human cognition and emerging computational systems capable of emulating these capacities. Human speech comprehension, poorly understood as a neurobiologic...

An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition.

PloS one
Language recognition systems based on bottleneck features have recently become the state-of-the-art in this research field, showing its success in the last Language Recognition Evaluation (LRE 2015) organized by NIST (U.S. National Institute of Stand...

Evaluation of a companion robot based on field tests with single older adults in their homes.

Assistive technology : the official journal of RESNA
The growing number of older adults places insurmountable load on family members and professional caregivers. Assistive technology with the aid of robots can present a possible solution. The goal of this article was to test a companion robot supportin...

Evaluating deep learning architectures for Speech Emotion Recognition.

Neural networks : the official journal of the International Neural Network Society
Speech Emotion Recognition (SER) can be regarded as a static or dynamic classification problem, which makes SER an excellent test bed for investigating and comparing various deep learning architectures. We describe a frame-based formulation to SER th...

HTM Spatial Pooler With Memristor Crossbar Circuits for Sparse Biometric Recognition.

IEEE transactions on biomedical circuits and systems
Hierarchical Temporal Memory (HTM) is an online machine learning algorithm that emulates the neo-cortex. The development of a scalable on-chip HTM architecture is an open research area. The two core substructures of HTM are spatial pooler and tempora...