openAI-whisper-SpeechToText A speech-to-text model is a type of artificial intelligence model designed to convert spoken language or audio input into written text. This technology is commonly used in applications like transcription services, voice assistants, and accessibility tools for individuals with...
If you have questions or you want to help you can find us in the #audio-generation channel on the LAION Discord server.An Open Source text-to-speech system built by inverting Whisper. Previously known as spear-tts-pytorch.We want this model to be like Stable Diffusion but for speech –...
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speech-to-text openai whisper text transcription audio recording OpenAI Whisper Speech-to-Text STTPackage Sidebar Install npm i whisper-speech-to-text Repository github.com/nitaiaharoni1/whisper-speech-to-text Homepage github.com/nitaiaharoni1/whisper-speech-to-text#readme Weekly Downloads 6 Version...
Text-to-Speech (TTS) 技术则是将文本转换为语音的功能。二、实现步骤 音频翻译使用OpenAI Whisper 将视频中的音频转换为文本。首先,安装 OpenAI Whisper 模型,可以从 OpenAI 的 GitHub 仓库中获取。安装完成后,运行以下命令进行音频转文本: python3 -m openai.text.audio_to_text input_audio.wav output_text....
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
github地址:https://github.com/sandrohanea/whisper.net Whisper.net. Speech to text made simple using Whisper Models 模型下载地址:https://huggingface.co/sandrohanea/whisper.net/tree/main/classic 效果 输出信息 whisper_init_from_file_no_state: loading model from 'ggml-small.bin' ...
text=whisper.speech_to_text('audio.wav') 1. 上述代码将读取名为audio.wav的音频文件,并将其转换为文本。转换结果将保存在变量text中。 完整示例 下面我们来看一个完整的示例,其中audio.wav是一个包含一段英文语音的音频文件: importwhisper text=whisper.speech_to_text('audio.wav')print('转换结果:',text...
其次,另一种 less restrictive,但速度较慢的后端是whisper-timestamped:pip install git+https://github.com/linto-ai/whisper-timestamped 第三,也可以通过OpenAI Whisper API运行此软件。这种解决方案速度快,不需要 GPU,只需要一个小型 VM 就足够了,但您需要为 api 访问支付 OpenAI 费用。另请注意,由于每个音...
If you wish to use this app without OpenAI API key or without using whisper API endpoint, you need to install this. First, you need to installWhisperand itsPythondependencies $ pip install git+https://github.com/openai/whisper.git