Search Results for author:
Found 10 papers, 6 papers with code
Neural Target Speech Extraction: An Overview
Humans can listen to a target speaker even in challenging acoustic conditions that have noise, reverberation, and interfering speakers.
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery
This work tackles the problem of learning a set of language specific acoustic units from unlabeled speech recordings given a set of labeled recordings from other languages.
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications
In this paper, we introduce the ATCO2 corpus, a dataset that aims at fostering research on the challenging ATC field, which has lagged behind due to lack of annotated data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model
We modify the acoustic model to predict joint state posteriors for all speakers, enabling the network to express uncertainty about the attribution of parts of the speech signal to the speakers.
MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification
Motivated by unconsolidated data situation and the lack of a standard benchmark in the field, we complement our previous efforts and present a comprehensive corpus designed for training and evaluating text-independent multi-channel speaker verification systems.
Analysis of impact of emotions on target speech extraction and speech separation
One of the factors causing such degradation may be intrinsic speaker variability, such as emotions, occurring commonly in realistic speech.
Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text
Such techniques derive training procedures and losses able to leverage unpaired speech and/or text data by combining ASR with Text-to-Speech (TTS) models.
Ranked #33 on
Semi-Supervised Image Classification
on ImageNet - 10% labeled data
(Top 5 Accuracy metric)
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Legal and Ethical Challenges in Recording Air Traffic Control Speech
In this paper the authors detail the various legal and ethical issues faced during the ATCO2 project.
Parameter-efficient transfer learning of pre-trained Transformer models for speaker verification using adapters
Recently, the pre-trained Transformer models have received a rising interest in the field of speech processing thanks to their great success in various downstream tasks.
Improving Speaker Verification with Self-Pretrained Transformer Models
Recently, fine-tuning large pre-trained Transformer models using downstream datasets has received a rising interest.
