Abstract: This paper proposes a novel meta-transfer learning method to improve automatic speech recognition (ASR) performance in low-resource languages. Nowadays, we are witnessing high interest in ...

Abstract: Speech emotion recognition (SER) aims to identify the speaker's emotional states in specific utterances accurately. However, existing methods still face feature confusion when attempting to ...

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

What if you could transform hours of audio into precise, actionable text with just a few lines of code? In 2025, this is no longer a futuristic dream but a reality powered by innovative speech-to-text ...