AI Audio Datasets (AI-ADS) 🎵, including Speech, Music, and Sound Effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications. - wanghaisheng/ai-audio-datasets
Join the movement towards a more efficient, inclusive, and connected world. Discover the right STT solution for your needs today, and let's elevate the way we interact with technology for a better tomorrow. Voice AI Platform for Enterprise Use Cases ...
Speech recognition is the process of converting a sequence of sound units (phones) uttered by a person into a sequence of words of a language. Without a language in context, the sequence of phones have no meaning. For example, to a person who does not understand Mandarin, listening to Man...
We also measure the quality of speech output for the S2ST using a Mean Opinion Score protocol that assesses (1) sound quality, (2) clarity of speech and (3) naturalness. We find that generally, across all MOS aspects, SEAMLESSM4T-LARGE V2 tends to be preferred to SEAMLESSM4T-LARGE, whic...
Contributors: How to avoid aiding the development of malicious code Control beep sound for message box Control Chassis and CPU fans in c# Control Mouse position and Generate click from program C# WinForms (Aim-> control PC from Serial port/USB HID) Controls created on one thread cannot be par...
generate(input=(wav_file, text_file), data_type=("sound", "text")) print(res) Speech Emotion Recognition from funasr import AutoModel model = AutoModel(model="emotion2vec_plus_large") wav_file = f"{model.model_path}/example/test.wav" res = model.generate(wav_file, output_dir="./...
Due to significant increases in internet penetration and the development of smartphone technology during the preceding couple of decades, many people have started using social media as a communication platform. Social media has grown to be one of the mos
The code used for the analysis in the study can be found in the following two GitHub repositories: https://github.com/HLasse/multidiagnosis-speech/tree/main and https://github.com/rbroc/multidiagnosis-text/tree/master References MacFarlane, H., Salem, A. C., Chen, L., Asgari, M. &...
The key features and the supported TTS engines, output subsystems, client interfaces and client applications known to work with Speech Dispatcher are listed in overview of speech-dispatcher as well as voices settings and where to look at in case of a sound or speech issue. Mailing-lists There...
to sample the latent space using features extracted from the input text. Three different structures are investigated for the sampler based on the input features it receives. The applied text-based features include BERT representations of a sentence (semantic information), the parsing tree of the sen...