Results 11 to 20 of about 457 (166)
On the Limitations of Speaker Diarization
Expert SystemsABSTRACT Although speaker diarization has evolved to be more robust and more refined, including incorporating modern automatic speech recognition (ASR), current systems still suffer from several disruptive factors, like noise. We comprehensively evaluate the limitations of current diarization systems to uncover the underlying causes ...
Joana Amorim +2 more
wiley +3 more sources
Speech recognition technology for assessing team debriefing communication and interaction patterns: An algorithmic toolkit for healthcare simulation educators [PDF]
Advances in SimulationBackground Debriefings are central to effective learning in simulation-based medical education. However, educators often face challenges when conducting debriefings, which are further compounded by the lack of empirically derived knowledge on optimal ...
Robin Brutschi +5 more
doaj +2 more sources
Optimized technique for speaker changes detection in multispeaker audio recording using pyknogram and efficient distance metric. [PDF]
PLoS ONESegmentation process is very popular in Speech recognition, word count, speaker indexing and speaker diarization process. This paper describes the speaker segmentation system which detects the speaker change point in an audio recording of multi speakers ...
Sukhvinder Kaur +6 more
doaj +2 more sources
Use of Automation Technologies and Data Mining in Speech Recognition for Autism. [PDF]
Brain BehavPipeline analyzes clinical and naturalistic speech using LENA, wav2vec 2.0, and foundation‐model ASR (Whisper) to enable scalable ASD detection and severity estimation. Future work integrates benchmarking, privacy‐preserving collaboration (federated learning), and explainable, edge‐ready AI for clinically credible assessment and longitudinal monitoring.
Mao R, Zhu Y.
europepmc +2 more sources
Probabilistic Embeddings for Speaker Diarization [PDF]
The Speaker and Language Recognition Workshop (Odyssey 2020), 2020 Awarded: Jack Godfrey Best Student Paper Award, at Odyssey 2020: The Speaker and Language Recognition Workshop ...
Silnova, Anna +4 more
openaire +2 more sources
Self-Conditioning via Intermediate Predictions for End-to-End Neural Speaker Diarization
IEEE Access, 2023 This paper presents a speaker diarization model that incorporates label dependency via intermediate predictions. The proposed method is categorized as an end-to-end neural diarization (EEND), which has been a promising method for solving the speaker ...
Yusuke Fujita +2 more
doaj +1 more source
Speaker Diarization with LSTM [PDF]
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 Published at ICASSP ...
Quan Wang +4 more
openaire +2 more sources
Speaker diarization through speaker embeddings [PDF]
2015 23rd European Signal Processing Conference (EUSIPCO), 2015 Publication in the conference proceedings of EUSIPCO, Nice, France ...
Mickael Rouvier +2 more
openaire +2 more sources
Mathematics, 2021 Recently developed methods in spontaneous speech analytics require the use of speaker separation based on audio data, referred to as diarization. It is applied to widespread use cases, such as meeting transcription based on recordings from distant ...
Sergei Astapov +9 more
doaj +1 more source
Streamlining digital speech tests in Latin America and Africa [PDF]
Alzheimers DementAbstract Background Digital speech assessments are increasingly recognized as promising tools for identifying early indicators of cognitive decline and dementia. These solutions are cost‐effective, objective, and automated, offering potential to address global disparities in clinical evaluations. However, most available resources and findings originate
Garcia A +6 more
europepmc +4 more sources