Speaker Profiling
2 papers with code • 0 benchmarks • 0 datasets
Estimation of Physical parameters from Speech data
Benchmarks
These leaderboards are used to track progress in Speaker Profiling
Latest papers with no code
TIMIT Speaker Profiling: A Comparison of Multi-task learning and Single-task learning Approaches
This study employs deep learning techniques to explore four speaker profiling tasks on the TIMIT dataset, namely gender classification, accent classification, age estimation, and speaker identification, highlighting the potential and challenges of multi-task learning versus single-task models.
Speaker Profiling in Multiparty Conversations
We have evaluated various baselines on this dataset and benchmarked it with a new neural model, SPOT, which we introduce in this paper.
Speaker Profiling in Multi-party Conversations
The aim of SPC is to produce a summary of the persona characteristics for individual speakers present in a dialog.
SPARTA: Speaker Profiling for ARabic TAlk
LSTM and CNN networks were implemented using raw features: MFCC and MEL, where FCNN was explored on the pre-trained vectors while varying the hyper-parameters of these networks to obtain the best results for each dataset and task.
Leveraging Native Language Speech for Accent Identification using Deep Siamese Networks
The problem of automatic accent identification is important for several applications like speaker profiling and recognition as well as for improving speech recognition systems.
