7 citations · 12 across the 6 of their papers we have counts for
7 papers
Toward Complete Speaker Anonymization: a Streaming Cascaded System for Voice Privacy and PII Removal
Stanisław Kacprzak, Thomas Thebaud, Najim Dehak
We present a cascade streaming voice privacy system, consisting of ASR, NLP, and TTS modules. By leveraging recent improvements in all three aspects of speech and language processi…
The Hidden Cost of Digits: Number Normalization and WER in ASR Systems
Stanisław Kacprzak, Mieszko Fraś
Modern automatic speech recognition (ASR) systems trained on extremely large datasets can produce transcripts with numbers written in Arabic numerals. This creates a need for fair…
Investigation of Whisper ASR Hallucinations Induced by Non-Speech Audio
Mateusz Barański, Jan Jasiński, Julitta Bartolewska +3
Hallucinations of deep neural models are amongst key challenges in automatic speech recognition (ASR). In this paper, we investigate hallucinations of the Whisper ASR model induced…
HeightCeleb - an enrichment of VoxCeleb dataset with speaker height information
Stanisław Kacprzak, Konrad Kowalczyk
Prediction of speaker's height is of interest for voice forensics, surveillance, and automatic speaker profiling. Until now, TIMIT has been the most popular dataset for training an…
Refining DNN-based Mask Estimation using CGMM-based EM Algorithm for Multi-channel Noise Reduction
Julitta Bartolewska, Stanisław Kacprzak, Konrad Kowalczyk
In this paper, we present a method that allows to further improve speech enhancement obtained with recently introduced Deep Neural Network (DNN) models. We propose a multi-channel…
Causal Signal-Based DCCRN with Overlapped-Frame Prediction for Online Speech Enhancement
Julitta Bartolewska, Stanisław Kacprzak, Konrad Kowalczyk
The aim of speech enhancement is to improve speech signal quality and intelligibility from a noisy microphone signal. In many applications, it is crucial to enable processing with…
Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices
Stanisław Kacprzak, Konrad Kowalczyk
In classification tasks, the classification accuracy diminishes when the data is gathered in different domains. To address this problem, in this paper, we investigate several adver…