isvav_result

publication_year

occurrences__organization__code

solver__id__sc2

result_type__code

Type of result according to the RIV classification. Czech version is available <a href="https://www.vyzkum.cz/FrontClanek.aspx?idsekce=1395" target="_blank" >here</a>.

language__code

Jazyk výsledku udáva původní jazyk, ve kterém byl daný výsledek vytvořen. Kompletní seznam jazyků ve kterém je možno výsledek do RIV předložit je <a href="https://www.vyzkum.cz/FrontClanek.aspx?idsekce=1397" target="_blank" >zde</a>.

cep__code

ford__code

_group_id67

occurrences__funder__code

Data supplier is the R&D aid provider who supported this result.

project__programme__code

x_range_count_solvers

project__id

What are you looking for?

Quick search

Smart search

Filters

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

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

Recurrent Neural Network Based Speaker Change Detection from Text Transcription Applied in Telephone Speaker Diarization System

Learning Speaker Representation for Neural Network Based Multichannel Speaker Extraction

Experiments with Segmentation in an Online Speaker Diarization System

Evaluation of SpeakerBeam target speech extraction in real noisy and reverberant conditions

Neural Network Speaker Descriptor in Speaker Diarization of Telephone Speech

Speaker Diarization Using Convolutional Neural Network for Statistics Accumulation Refinement

Convolutional Neural Network for speaker change detection in telephone speaker diarization system

Optimization of Speaker-aware Multichannel Speech Extraction with ASR Criterion