Spoken digits recognition (SDR) is a type of supervised automatic speech recognition, which
is required in various human–machine interaction applications. It is utilized in phone-based …

In a conventional speech emotion recognition (SER) task, a classifier for a given language is
trained on a pre-existing dataset for that same language. However, where training data for a …

This study addresses the challenges of low accuracy and high computational demands in
Tibetan speech recognition by investigating the application of end-to-end networks. We …

Recent advances in video diffusion models have unlocked new potential for realistic audio-
driven talking video generation. However, achieving seamless audio-lip synchronization …

Speech emotion recognition (SER) is an important part of human-computer interaction,
receiving extensive attention from both industry and academia. However, the current …

This study proposes a method for recognizing emotions from speech using Mel
spectrograms and MFCC features which capture the spectral features of speech signals. To …

Speech emotion recognition (SER) is focused on predicting emotion from speech data,
irrespective of the semantic contents. However, it is pertinent to note that variability in …

Nowadays, to facilitate deep learning for voice recognition, a large number of dialect-based
speech dataset for different languages have been produced. However, not such more …

Speech emotion recognition has become an important endeavor in Human-computer-
Interaction. Emotion recognition and understanding by computer are used for medical …

Advances in video diffusion models have unlocked the potential for realistic audio-driven
talking video generation. However, it is still highly challenging to ensure seamless audio-lip …