Search Results for author:
Found 24 papers, 1 papers with code
The Curse of Correlations for Robust Fingerprinting of Relational Databases
Database fingerprinting have been widely adopted to prevent unauthorized sharing of data and identify the source of data leakages.
Cryptography and Security Databases
Deep Convolutional Spiking Neural Networks for Keyword Spotting
To explore the effectiveness and computational complexity of SNN on KWS and wakeword detection, we compare the performance and computational costs of spiking fully-connected and convolutional neural networks with ANN counterparts under clean and noisy testing conditions.
Semi-supervised Acoustic Modelling for Five-lingual Code-switched ASR using Automatically-segmented Soap Opera Speech
Automatic segmentation was applied in combination with automaticspeaker diarization.
Semi-supervised Development of ASR Systems for Multilingual Code-switched Speech in Under-resourced Languages
This paper reports on the semi-supervised development of acoustic and language models for under-resourced, code-switched speech in five South African languages.
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
The brain-inspired spiking neural networks (SNN) closely mimic the biological neural networks and can operate on low-power neuromorphic hardware with spike-based computation.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
End-to-End Code-Switching ASR for Low-Resourced Language Pairs
In this work, we describe an E2E ASR pipeline for the recognition of CS speech in which a low-resourced language is mixed with a high resourced language.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Automatic Lyrics Alignment and Transcription in Polyphonic Music: Does Background Music Help?
Automatic lyrics alignment and transcription in polyphonic music are challenging tasks because the singing vocals are corrupted by the background music.
Audio and Speech Processing Sound
Acoustic Modeling for Automatic Lyrics-to-Audio Alignment
In this work, we propose (1) using additional speech and music-informed features and (2) adapting the acoustic models trained on a large amount of solo singing vocals towards polyphonic music using a small amount of in-domain data.
Semi-supervised acoustic model training for five-lingual code-switched ASR
Furthermore, because English is common to all language pairs in our data, it dominates when training a unified language model, leading to improved English ASR performance at the expense of the other languages.
Large-Scale Speaker Diarization of Radio Broadcast Archives
This paper describes our initial efforts to build a large-scale speaker diarization (SD) and identification system on a recently digitized radio broadcast archive from the Netherlands which has more than 6500 audio tapes with 3000 hours of Frisian-Dutch speech recorded between 1950-2016.
Code-Switching Detection Using ASR-Generated Language Posteriors
Code-switching (CS) detection refers to the automatic detection of language switches in code-mixed utterances.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Multi-Graph Decoding for Code-Switching ASR
This archive contains recordings with monolingual Frisian and Dutch speech segments as well as Frisian-Dutch CS speech, hence the recognition performance on monolingual segments is also vital for accurate transcriptions.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech
The rapid population aging has stimulated the development of assistive devices that provide personalized medical support to the needies suffering from various etiologies.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Locally Differentially Private Naive Bayes Classification
In order to train a Naive Bayes classifier in an untrusted setting, we propose to use methods satisfying local differential privacy.
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE).
Semi-supervised acoustic model training for speech with code-switching
In this paper, we describe several automatic annotation approaches to enable using of a large amount of raw bilingual broadcast data for acoustic model training in a semi-supervised setting.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
Generative x-vectors for text-independent speaker verification
Speaker verification (SV) systems using deep neural network embeddings, so-called the x-vector systems, are becoming popular due to its good performance superior to the i-vector systems.
Building a Unified Code-Switching ASR System for South African Languages
We present our first efforts towards building a single multilingual automatic speech recognition (ASR) system that can process code-switching (CS) speech in five languages spoken within the same population.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Articulatory Features for ASR of Pathological Speech
In this work, we investigate the joint use of articulatory and acoustic features for automatic speech recognition (ASR) of pathological speech.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Acoustic and Textual Data Augmentation for Improved ASR of Code-Switching Speech
In this paper, we describe several techniques for improving the acoustic and language model of an automatic speech recognition (ASR) system operating on code-switching (CS) speech.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
ASR-free CNN-DTW keyword spotting using multilingual bottleneck features for almost zero-resource languages
We consider multilingual bottleneck features (BNFs) for nearly zero-resource keyword spotting.
A Longitudinal Bilingual Frisian-Dutch Radio Broadcast Database Designed for Code-Switching Research
Frisian is mostly spoken in the province Fryslan and it is the second official language of the Netherlands.
A Dutch Dysarthric Speech Database for Individualized Speech Therapy Research
We present a new Dutch dysarthric speech database containing utterances of neurological patients with Parkinson{'}s disease, traumatic brain injury and cerebrovascular accident.
