Speaker diarization: A review of recent research
Speaker diarization is the task of determining “who spoke when?” in an audio or video
recording that contains an unknown amount of speech and also an unknown number of …
recording that contains an unknown amount of speech and also an unknown number of …
CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings
Following the success of the 1st, 2nd, 3rd, 4th and 5th CHiME challenges we organize the
6th CHiME Speech Separation and Recognition Challenge (CHiME-6). The new challenge …
6th CHiME Speech Separation and Recognition Challenge (CHiME-6). The new challenge …
Human movement datasets: An interdisciplinary scoping review
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
The fifth'CHiME'speech separation and recognition challenge: dataset, task and baselines
The CHiME challenge series aims to advance robust automatic speech recognition (ASR)
technology by promoting research at the interface of speech and language processing …
technology by promoting research at the interface of speech and language processing …
The third 'CHiME'speech separation and recognition challenge: Dataset, task and baselines
The CHiME challenge series aims to advance far field speech recognition technology by
promoting research at the interface of signal processing and automatic speech recognition …
promoting research at the interface of signal processing and automatic speech recognition …
A consolidated perspective on multimicrophone speech enhancement and source separation
Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …
commercial applications in devices as diverse as mobile phones, conference call systems …
M2MeT: The ICASSP 2022 multi-channel multi-party meeting transcription challenge
Recent development of speech signal processing, such as speech recognition, speaker
diarization, etc., has inspired numerous applications of speech technologies. The meeting …
diarization, etc., has inspired numerous applications of speech technologies. The meeting …
Aenet: Learning deep audio features for video analysis
N Takahashi, M Gygli… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
We propose a new deep network for audio event recognition, called AENet. In contrast to
speech, sounds coming from audio events may be produced by a wide variety of sources …
speech, sounds coming from audio events may be produced by a wide variety of sources …
Aishell-4: An open source dataset for speech enhancement, separation, recognition and speaker diarization in conference scenario
In this paper, we present AISHELL-4, a sizable real-recorded Mandarin speech dataset
collected by 8-channel circular microphone array for speech processing in conference …
collected by 8-channel circular microphone array for speech processing in conference …
The third 'CHiME'speech separation and recognition challenge: Analysis and outcomes
This paper presents the design and outcomes of the CHiME-3 challenge, the first open
speech recognition evaluation designed to target the increasingly relevant multichannel …
speech recognition evaluation designed to target the increasingly relevant multichannel …