成本问题:OpenAI 的 Whisper 模型 1min 收费 0.006 美元,1h 的音频按照 7.3 的汇率需要收费 2.7 元。坦白讲,Whisper 的 API 价格非常便宜了,几乎只是 Google Speech2Text API 的四分之一。但是,如果我们假设有 5 门课程,每堂课长 3小时,每周有一次课,那么每个月的转写成本 = 5 x 3 x 4 x 2.7 = 162...
Hi and welcome to this tutorial series on the OpenAI Whisper speech-to-text model. Whisper is a very powerful automatic speech recognition system and in this series, we’re going to learn all about it and create cool projects along the way. Inpart 1we’ll take a look at the basics of ...
Speech-to-text transcriber based on WhisperX, deployed on Google Colab sttwhisperx UpdatedOct 27, 2024 Jupyter Notebook allseeteam/whisperx-fastapi Star11 Code Issues Pull requests WhisperX FastAPI integration pythonapidockeraiwhisperfastapiwhisper-apiwhisperx ...
ChatGPT是text-to-text的，用过的大家都知道，而是Whisper是speech-to-text，就相当于可以语音转文字。...
Whisper works as a meta-model for speech-processing tasks. One of the downsides of Whisper is its efficiency; it is often found to be fairly slow compared to other state-of-the-art models. In the following sections, we go through the details of what changed with this new approach....
particularly in terms of medical imagery and its ability to interpret complex diagrams and captions. Its advancements in text to 3D, speech to text, and embodiment are starting to complement each other, leading to potential revolutionary applications. Overall, while there is still a ways to go, ...
Whisper Speech是一个开源的文本到语音系统,使用了Whisper和EnCodec等开源模型来生成语义标记和执行语音建模。目前,WhisperSpeech的模型是在英文LibreLight数据集上训练的,但在未来的发布中,他们希望能够面向多种语言。WhisperSpeech采用了Collabora的资助进行代码开发和模型训练,LAION提供了社区建设和数据集支持。该系统的愿...
An app that adds high quality captions to what everyone is saying! Free Features! - A simple and easy to use app - Make text as big as you like - Automatically adds new lines to break up the text - Present what you're thinking to others with large visible text - Save and organise ...
Essentially, this is done by detecting continuous sections of speech using Silero VAD, then (for performance reasons) merge sections into up to 30 seconds chunks when sections are 5 seconds or less apart. I also pass previous detected text as prompt, if the text is close enough (prompt wind...
近年来,以 FastSpeech 为代表的非自回归语音合成(Text to Speech, TTS)模型相比传统的自回归模型(如 Tacotron 2)能极大提升合成速度,提升语音鲁棒性(减少重复吐词、漏词等问题)与可控性(控制速率和韵律),同时达到相匹配的语音合成质量。但是,FastSpeech 还面临以下几点问题: ...