Abstract: It is a very important problem since voice-controlled devices and speech-to-text transcription are only two examples of how automatic recognition of spoken language in noisy environments may ...

Abstract: We study speech emotion recognition based on linguistic features that consider the spoken language in Japanese. In this approach, speech recognition is used to convert speech into text. The ...

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 ...