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52 346 (0,138s)

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Speaker-aware neural network based beamformer for speaker extraction in speech mixtures

This article is about the speaker-aware neural network based beamformer for speaker extraction in speech mixtures....

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • D
  • Link
Result

Optimization of Speaker-aware Multichannel Speech Extraction with ASR Criterion

, we inform the neural network about the target speaker using information extracted from an adaptation utterance, enabling the network to track the target speaker speakers in a multichannel settin...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • D
  • Link
Result

SpeakerBeam: Speaker Aware Neural Network for Target Speaker Extraction in Speech Mixtures

The processing of speech corrupted by interfering overlapping speakers is one., they blindly recover all the speakers from the mixture. In some scenarios, such as smart personal devices, we may however be interested in recovering on...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
  • Jimp
  • Link
Result

Convolutional Neural Network in the Task of Speaker Change Detection

This paper presents an approach to detect speaker changes in telephone conversations. The speaker change problem is presented as a classification problem. We use a Convolutional Neural Network to analyze short audi...

JD - Využití počítačů, robotika a její aplikace

  • 2016
  • D
  • Link
Result

Neural-Network-based Spectrum Processing for Speech Recognition and Speaker Verification

In this paper, neural networks are applied as a feature extractors for a speech coefficients, mean and variance normalization are applied when a neural-network-based feature extraction is trained together with a

Automation and control systems

  • 2015
  • D
  • Link
Result

Deep Neural Networks and Hidden Markov Models in i-vector-based Text-Dependent Speaker Verification

This article is about deep neural networks and hidden Markov models in i-vector-based text-dependent speaker verification.

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2016
  • D
  • Link
Result

On Context-Dependent Neural Networks and Speaker Adaptation

This paper describes evaluation of a neural network based hybrid LVCSR system that are employed to increase performance of neural networks for context-dependent phonetic of different hybrid systems employing either...

JD - Využití počítačů, robotika a její aplikace

  • 2012
  • D
Result

Learning Speaker Representation for Neural Network Based Multichannel Speaker Extraction

of speakers, we have recently proposed to inform the neural network using speakerRecently, schemes employing deep neural networks (DNNs) for extracting speech work, we explored ways how to inform...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • D
  • Link
Result

Optimization of multilayer neural network parameters for speaker recognition

person regardless of content and language. Multilayer neural network has been used for speaker identification in this research. Artificial neural network (ANN) needs to set setting for the multilayer ...

IN - Informatika

  • 2016
  • D
  • Link
Result

Improved Feature Processing for Deep Neural Networks

In this paper, we explore various methods of providing higherdimensional features to DNNs, while still applying speaker adaptation with fMLLR of low dimensionality....

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2013
  • D
  • Link
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