This paper presents a hardware-software co-design implementation of feature extraction circuit which can be used for speech recognition applications. Mel-frequency cepstral co-efficients are used to represent the features of the speech. A comparison between a complete software implementation and a co-design with both hardware and software components is brought out for the same circuit. The advantage of the hardware-software co-design is brought out by showing that the delay of execution has decreased to 0.0184 seconds from 17.29 seconds for the complete software implementation approach.The MicroBlaze soft-core processor from Xilinx is used in the hardware-software co-design. The processor frequency is chosen to be 66.67MHz. The Xilinx EDK s...
To achieve much faster decoding, or much lower power consumption, we need to liberate speech recogni...
This thesis presents a fully pipelined and parameterised parallel hardware implementation of a large...
This thesis explores the feasibility of mapping a real-time, continuous speech recognition system on...
A speech feature extraction circuit that is simple and suitable for chip technology is designed. It ...
This paper presents the design of a System on Programmable Chip (SoPC) based on Field Programmable G...
We present a new design of an Embedded Speech Recognition System. It combines the aspects of both ha...
Paper presents an comparative evaluation of features extraction algorithm for a real-time isolated w...
This thesis aims to break the myth that multi-GHz machines are required for processing speaker-indep...
This thesis aims to break the myth that multi-GHz machines are required for processing speaker-indep...
This thesis aims to break the myth that multi-GHz machines are required for processing speaker-indep...
This paper presents a comparative evaluation of features extraction algorithm for a real-time isolat...
This paper presents a comparative evaluation of features extraction algorithm for a real-time isolat...
ABSTRACT:This paper suggests Digital Signal processor (DSP) based speech recognition system with imp...
We propose a system architecture for real-time hardware speech recognition on low-cost, power-constr...
We propose a system architecture for real-time hardware speech recognition on low-cost, power-constr...
To achieve much faster decoding, or much lower power consumption, we need to liberate speech recogni...
This thesis presents a fully pipelined and parameterised parallel hardware implementation of a large...
This thesis explores the feasibility of mapping a real-time, continuous speech recognition system on...
A speech feature extraction circuit that is simple and suitable for chip technology is designed. It ...
This paper presents the design of a System on Programmable Chip (SoPC) based on Field Programmable G...
We present a new design of an Embedded Speech Recognition System. It combines the aspects of both ha...
Paper presents an comparative evaluation of features extraction algorithm for a real-time isolated w...
This thesis aims to break the myth that multi-GHz machines are required for processing speaker-indep...
This thesis aims to break the myth that multi-GHz machines are required for processing speaker-indep...
This thesis aims to break the myth that multi-GHz machines are required for processing speaker-indep...
This paper presents a comparative evaluation of features extraction algorithm for a real-time isolat...
This paper presents a comparative evaluation of features extraction algorithm for a real-time isolat...
ABSTRACT:This paper suggests Digital Signal processor (DSP) based speech recognition system with imp...
We propose a system architecture for real-time hardware speech recognition on low-cost, power-constr...
We propose a system architecture for real-time hardware speech recognition on low-cost, power-constr...
To achieve much faster decoding, or much lower power consumption, we need to liberate speech recogni...
This thesis presents a fully pipelined and parameterised parallel hardware implementation of a large...
This thesis explores the feasibility of mapping a real-time, continuous speech recognition system on...