Add to ORKGA real‐time prototype speech recognizer has been implemented on a 66‐processor distributed‐memory parallel computer. Simple phrases are recognized in approximately 4 to 10 seconds. Scalability, performance and flexibility are the three main aims of this implementation, the ultimate goal being to construct a large vocabulary speech recognizer which responds quickly. A set of three techniques is investigated in this implementation: asynchronous methodology to minimize synchronization overheads, distributed control to avoid a central communications bottleneck, and dynamic load balancing to provide a flexible response to an unpredictable computational load. The effect on memory, processor time allocation and communications is observed in real‐t...
State-of-the-art speech-recognition systems can successfully perform simple tasks in real-time on mo...
This thesis aims to break the myth that multi-GHz machines are required for processing speaker-indep...
The objective of this program has been to develop an automatic speech recognition system capable of ...
For years researchers have worked toward finding a way to allow people to talk to machines in the sa...
To achieve improved real-time performance, hardware-based speech recognition systems have emerged in...
The full text of this article is not available on SOAR. WSU users can access the article via IEEE Xp...
Automatic speech recognition enables a wide range of current and emerging applications such as autom...
While commercial speech recognition systems remain limited in their capabilities, research systems a...
This thesis presents a fully pipelined and parameterised parallel hardware implementation of a large...
The automatic recognition of spoken words is increasingly common, for dictaphone applications, telep...
This thesis explores the feasibility of mapping a real-time, continuous speech recognition system on...
Research in Automatic Speech Recognition (ASR) has been very intense in recent years with focus give...
Accurate real-time speech recognition is not currently possible in the mobile embedded space where t...
We describe an IC that provides a local speech recognition capability for a variety of electronic de...
We propose a system architecture for real-time hardware speech recognition on low-cost, power-constr...
State-of-the-art speech-recognition systems can successfully perform simple tasks in real-time on mo...
This thesis aims to break the myth that multi-GHz machines are required for processing speaker-indep...
The objective of this program has been to develop an automatic speech recognition system capable of ...
For years researchers have worked toward finding a way to allow people to talk to machines in the sa...
To achieve improved real-time performance, hardware-based speech recognition systems have emerged in...
The full text of this article is not available on SOAR. WSU users can access the article via IEEE Xp...
Automatic speech recognition enables a wide range of current and emerging applications such as autom...
While commercial speech recognition systems remain limited in their capabilities, research systems a...
This thesis presents a fully pipelined and parameterised parallel hardware implementation of a large...
The automatic recognition of spoken words is increasingly common, for dictaphone applications, telep...
This thesis explores the feasibility of mapping a real-time, continuous speech recognition system on...
Research in Automatic Speech Recognition (ASR) has been very intense in recent years with focus give...
Accurate real-time speech recognition is not currently possible in the mobile embedded space where t...
We describe an IC that provides a local speech recognition capability for a variety of electronic de...
We propose a system architecture for real-time hardware speech recognition on low-cost, power-constr...
State-of-the-art speech-recognition systems can successfully perform simple tasks in real-time on mo...
This thesis aims to break the myth that multi-GHz machines are required for processing speaker-indep...
The objective of this program has been to develop an automatic speech recognition system capable of ...