1. Home
2. Premium
3. IEEE ICASSP 2020 Virtual Conference May 2020
4. An Improved Deep Neural Network For Modeling Speaker Characteristics At Different Temporal Scales

An Improved Deep Neural Network For Modeling Speaker Characteristics At Different Temporal Scales

Collection:

IEEE ICASSP 2020 Virtual Conference May 2020

This paper presents an improved deep embedding learning method based on a convolutional neural network (CNN) for text-independent speaker verification. Two improvements are proposed for x-vector embedding learning: (1) a multiscale convolution (MSCNN) is

• IEEE MemberUS $11.00
• Society MemberUS $0.00
• IEEE Student MemberUS $11.00
• Non-IEEE MemberUS $15.00

Purchase

Videos in this product

An Improved Deep Neural Network For Modeling Speaker Characteristics At Different Temporal Scales

00:11:10

0 views

This paper presents an improved deep embedding learning method based on a convolutional neural network (CNN) for text-independent speaker verification. Two improvements are proposed for x-vector embedding learning: (1) a multiscale convolution (MSCNN) is