Results 21 to 30 of about 2,146 (182)
Towards an Automatic Speech-Based Diagnostic Test for Alzheimer’s Disease
Automatic Speech Recognition (ASR) is widely used in many applications and tools. Smartphones, video games, and cars are a few examples where people use ASR routinely and often daily.
Roozbeh Sadeghian +2 more
doaj +1 more source
Speech Recognition for the iCub Platform
This paper describes open source software (available at https://github.com/robotology/natural-speech) to build automatic speech recognition (ASR) systems and run them within the YARP platform.
Bertrand Higy +4 more
doaj +1 more source
Improving low-resource Tibetan end-to-end ASR by multilingual and multilevel unit modeling
Conventional automatic speech recognition (ASR) and emerging end-to-end (E2E) speech recognition have achieved promising results after being provided with sufficient resources. However, for low-resource language, the current ASR is still challenging. The
Siqing Qin +4 more
doaj +1 more source
VLSP 2021 - ASR Challenge for Vietnamese Automatic Speech Recognition
Recently, Vietnamese speech recognition has been attracted by various research groups in both academics and industry. This paper presents a Vietnamese automatic speech recognition challenge for the eighth annual workshop on Vietnamese Language and Speech Processing (VLSP 2021). There are two sub-tasks in the challenge.
openaire +1 more source
Automatic speech recognition (ASR) based approach for speech therapy of aphasic patients: A review [PDF]
This paper reviews the state-of-the-art an automatic speech recognition (ASR) based approach for speech therapy of aphasic patients. Aphasia is a condition in which the affected person suffers from speech and language disorder resulting from a stroke or brain injury.
Norezmi Jamal +3 more
openaire +1 more source
Performance vs. hardware requirements in state-of-the-art automatic speech recognition
The last decade brought significant advances in automatic speech recognition (ASR) thanks to the evolution of deep learning methods. ASR systems evolved from pipeline-based systems, that modeled hand-crafted speech features with probabilistic frameworks ...
Alexandru-Lucian Georgescu +3 more
doaj +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Application of Automatic Speech Recognition (ASR) Algorithm in Smart Home
Abstract Study on practical ASR system for smart home had significant meanings for the development of the smart home. Through analysis of embedded ASR technology and the control technology of smart home, people could utilize VS1003 to record the speech for audio decoder chip by taking the NL6621 template as the platform.
Hong Chen, Bo Zhang
openaire +1 more source
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang +7 more
wiley +1 more source
Design of Educational Software for Automatic Speech Recognition (ASR) Techniques
Pengecaman suara merupakan satu subjek penting dalam penyelidikan, dan perkembangannya telah tiba di satu tahap di mana ia telah diaplikasikan di dalam banyak aplikasi industri dan pengguna di luar negeri. Walau bagaimanapun, penyelidikan pengecaman suara masih berada di tahap awalnya di Malaysia.
Hong, Kai Sze +1 more
openaire +1 more source

