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Found 9 papers, 2 papers with code
A Unified Deep Speaker Embedding Framework for Mixed-Bandwidth Speech Data
This paper proposes a unified deep speaker embedding framework for modeling speech data with different sampling rates.
DIHARD II is Still Hard: Experimental Results and Discussions from the DKU-LENOVO Team
Our diarization system includes multiple modules, namely voice activity detection (VAD), segmentation, speaker embedding extraction, similarity scoring, clustering, resegmentation and overlap detection.
The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion
This paper describes our DKU replay detection system for the ASVspoof 2019 challenge.
Utterance-level end-to-end language identification using attention-based CNN-BLSTM
In this paper, we present an end-to-end language identification framework, the attention-based Convolutional Neural Network-Bidirectional Long-short Term Memory (CNN-BLSTM).
End-to-end Language Identification using NetFV and NetVLAD
In this paper, we apply the NetFV and NetVLAD layers for the end-to-end language identification task.
Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System
In the end-to-end system, the encoding layer plays a role in aggregating the variable-length input sequence into an utterance level representation.
A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification
A novel learnable dictionary encoding layer is proposed in this paper for end-to-end language identification.
Insights into End-to-End Learning Scheme for Language Identification
After comparing with the state-of-the-art GMM i-vector methods, we give insights into CNN, and reveal its role and effect in the whole pipeline.
The SYSU System for the Interspeech 2015 Automatic Speaker Verification Spoofing and Countermeasures Challenge
In order to detect these spoofed speech signals as a countermeasure, we propose a score level fusion approach with several different i-vector subsystems.
