Speaker identification refers to the process of recognizing human voice using artificial
intelligence techniques. Speaker identification technologies are widely applied in voice …

This paper proposes a novel accent recognition system in the framework of a transformer-
based end-to-end speech recognition system. To incorporate the pronunciation and …

In multi-lingual, multi-speaker environments (eg, international conference scenarios),
speech, language, and background sounds can overlap. In real-world scenarios, source …

Deep learning is often inadequate for achieving effective dialect recognition in situations
where data are limited and model training is complex. Differences between Mandarin and …

Almost all the world use English to communicate. English accents appear in various parts of
the world. Every Country that communicates in English has a different accent, for example …

The traditional speaker recognition method reduces the feature signal from high to low
dimensions, but this often leads to some speaker information loss, resulting in a low speaker …

语种识别的关键是从语音片段中提取有用的特征. 通过延时神经网络(Time‑delayed neural
network, TDNN) 可以提取包含丰富上下文信息的特征向量, 有效提高系统性能 …

In the age of artificial intelligence, it is important for machines to figure out who is speaking
automatically and in what language-a task humans are naturally capable of. Developing …

Machine learning techniques are widely used for accent classification. Due to the accent, the
pronunciation differs, and that leads others to think of it as a different language. In this case …

Gender recognition based solely on the speaker's voice is a fairly simple task for any human
being, however, it's not as simple as it is for humans compared to any computing systems …