defspeech2text(speech_file):transcriber=pipeline(task="automatic-speech-recognition",model="openai/whisper-medium")text_dict=transcriber(speech_file)returntext_dictimportargparseimportjson defmain():parser=argparse.ArgumentParser(description="语音转文本")parser.add_argument("--audio","-a",type=str,hel...
(task="automatic-speech-recognition", model="openai/whisper-medium") text_dict = transcriber(speech_file) return text_dict import argparse import json def main(): parser = argparse.ArgumentParser(description="语音转文本") parser.add_argument("--audio","-a", type=str, help="输出音频文件路径...
随着人工智能技术的飞速发展,语音转文本(Speech-to-Text, STT)技术已经成为众多应用场景中的关键一环。OpenAI近期推出的Whisper模型,以其强大的多语言支持和高效能,在语音识别领域引起了广泛关注。本文将带您深入了解Whisper模型的技术原理、应用场景,并通过实战操作展示其使用方法。 Whisper模型简介 Whisper是OpenAI研发并...
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' whisper_model_load: loading model whisper_model_load: n_vocab = 51865...
The Whisper model is a speech to text model from OpenAI that you can use to transcribe audio files. The model is trained on a large dataset of English audio and text. The model is optimized for transcribing audio files that contain speech in English. The model can also be used to transcr...
当下最可靠美式英语的Speech to text - Whisper 算法 测试样本 Kinky Tricks (1977)tt0194078 Whisper 美式英语 中型模型 1.42版,这个版本是一般普通电脑可以运行最高的 大型模型,需要硬件12G内存以上的计算服务器。 SE自带谷歌翻译,需要谷歌API key支持,我没有申请!
- server.py里的speech_to_text()中间没有检测到语音,则用句号间断。 - 输入提供时间戳字幕转写格式 把transcript/segments内的start和end打印出来。 - 识别的分贝阈值提高些,因为背景音都进去了,可能会产生错误识别。 后续可以考虑增加过滤背景音。 参考资料 [1] Whisper数据集说明,md文件:github.com/openai/whis...
This repository offers two Android apps leveraging the OpenAI Whisper speech-to-text model. One app uses the TensorFlow Lite Java API for easy Java integration, while the other employs the TensorFlow Lite Native API for enhanced performance. It also includes a Python script for model generation an...
The Whisper model in OCI Speech offers the following features and benefits: Multilingual support: Broaden your audience reach with Whisper’s multilingual support voice-to-text transcription for over 50 languages, including Afrikaans, Arabic, Armenian, Azerbaijani, Belarusian, Bosnian, Bulgarian, Catalan...
Running speech to text model (whisper.cpp) in Unity3d on your local machine. - GameWorkstore/whisper.unity