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Text to speech: Difference between revisions
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→Speech to text 工具
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[https://cloud.google.com/speech/?hl=zh-tw Speech API - 語音辨識 | Google Cloud] 「語音轉文字採用機器學習技術」，免費版語音辨識的額度 60 分鐘，詳 [https://cloud.google.com/speech-to-text/pricing 定價 | Cloud Speech API Documentation | Google Cloud]。 {{access | date = 2018-09-04}} | [https://cloud.google.com/speech/?hl=zh-tw Speech API - 語音辨識 | Google Cloud] 「語音轉文字採用機器學習技術」，免費版語音辨識的額度 60 分鐘，詳 [https://cloud.google.com/speech-to-text/pricing 定價 | Cloud Speech API Documentation | Google Cloud]。 {{access | date = 2018-09-04}} | ||
* | * Input: microphone & audio file (For audio file which longer than 1 minute, upload files to Google cloud storage. | ||
* Language: 120 languages <ref>[https://cloud.google.com/speech-to-text/docs/languages?hl=zh-tw Language Support | Cloud Speech-to-Text API | Google Cloud]</ref> | * Language: 120 languages <ref>[https://cloud.google.com/speech-to-text/docs/languages?hl=zh-tw Language Support | Cloud Speech-to-Text API | Google Cloud]</ref> | ||
* Sample code: | * Sample code: | ||
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[https://azure.microsoft.com/zh-tw/services/cognitive-services/speech/ Bing 語音 API - 語音辨識軟體 | Microsoft Azure] | [https://azure.microsoft.com/zh-tw/services/cognitive-services/speech/ Bing 語音 API - 語音辨識軟體 | Microsoft Azure] | ||
* | * Input: Audio file. Format: wav & ogg<ref>[https://docs.microsoft.com/zh-tw/azure/cognitive-services/speech-service/rest-speech-to-text 語音轉換文字 API 參考（REST）-語音服務 - Azure Cognitive Services | Microsoft Docs]</ref> | ||
* Language: Traditional Chinese, Simplified Chinese & English and more on the list<ref>[https://docs.microsoft.com/zh-tw/azure/cognitive-services/speech-service/language-support#speech-to-text 語言支援-語音服務 - Azure Cognitive Services | Microsoft Docs]</ref> | * Language: Traditional Chinese, Simplified Chinese & English and more on the list<ref>[https://docs.microsoft.com/zh-tw/azure/cognitive-services/speech-service/language-support#speech-to-text 語言支援-語音服務 - Azure Cognitive Services | Microsoft Docs]</ref> | ||
* Sample code: [https://github.com/Azure-Samples/SpeechToText-REST Azure-Samples/SpeechToText-REST: REST Samples of Speech To Text API] | * Sample code: [https://github.com/Azure-Samples/SpeechToText-REST Azure-Samples/SpeechToText-REST: REST Samples of Speech To Text API] | ||
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[https://app.clipchamp.com/ Clipchamp] {{access | date = 2025-04-02}} | [https://app.clipchamp.com/ Clipchamp] {{access | date = 2025-04-02}} | ||
* Input: audio or video file | |||
* Support Language: 80+ languages<ref>[https://support.microsoft.com/en-us/topic/how-to-use-autocaptions-in-clipchamp-ccb0520b-38f6-4fa9-aca8-872c2964946a How to use autocaptions in Clipchamp - Microsoft Support]</ref><ref>[https://learn.microsoft.com/zh-tw/azure/ai-services/speech-service/language-support?tabs=stt 語言支援 - 語音服務 - Azure AI services | Microsoft Learn]</ref> | * Support Language: 80+ languages<ref>[https://support.microsoft.com/en-us/topic/how-to-use-autocaptions-in-clipchamp-ccb0520b-38f6-4fa9-aca8-872c2964946a How to use autocaptions in Clipchamp - Microsoft Support]</ref><ref>[https://learn.microsoft.com/zh-tw/azure/ai-services/speech-service/language-support?tabs=stt 語言支援 - 語音服務 - Azure AI services | Microsoft Learn]</ref> | ||
* Comments: The free version seems to have no limitation on video duration, and you can also use AI to convert videos or audio into transcripts for free. However, during testing, the subtitles displayed for each time code were not complete sentences. | * Comments: The free version seems to have no limitation on video duration, and you can also use AI to convert videos or audio into transcripts for free. However, during testing, the subtitles displayed for each time code were not complete sentences. | ||
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[https://tw.olami.ai/open/website/apiandsolution/api_solution OLAMI 中文語音辨識 API｜歐拉蜜人工智慧開放平台（威盛電子）] {{access | date = 2018-09-05}} | [https://tw.olami.ai/open/website/apiandsolution/api_solution OLAMI 中文語音辨識 API｜歐拉蜜人工智慧開放平台（威盛電子）] {{access | date = 2018-09-05}} | ||
* | * Input: Audio file. Format: wav & speex <ref>[https://tw.olami.ai/wiki/?mp=api_asr&content=api_asr1.html 文件中心 - OLAMI - 歐拉蜜人工智慧開放平台]</ref> | ||
* Language: Traditional Chinese & Simplified Chinese <ref>[https://github.com/olami-developers/olami-api-quickstart-curl-samples/tree/master/cloud-speech-recognition olami-api-quickstart-curl-samples/cloud-speech-recognition at master · olami-developers/olami-api-quickstart-curl-samples]</ref> | * Language: Traditional Chinese & Simplified Chinese <ref>[https://github.com/olami-developers/olami-api-quickstart-curl-samples/tree/master/cloud-speech-recognition olami-api-quickstart-curl-samples/cloud-speech-recognition at master · olami-developers/olami-api-quickstart-curl-samples]</ref> | ||
* Sample code: [https://github.com/olami-developers/olami-api-quickstart-curl-samples/tree/master/cloud-speech-recognition olami-developers/olami-api-quickstart-curl-samples] | * Sample code: [https://github.com/olami-developers/olami-api-quickstart-curl-samples/tree/master/cloud-speech-recognition olami-developers/olami-api-quickstart-curl-samples] | ||
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影片要產生文字，可利用 youtube 的 [https://support.google.com/youtube/answer/6373554?hl=en Use automatic captioning - YouTube Help]，約需要半天時間 {{access | date = 2018-09-04}} 教學: [https://www.techbang.com/posts/2107 YouTube超佛心，自動幫你加入字幕！ | T客邦] | 影片要產生文字，可利用 youtube 的 [https://support.google.com/youtube/answer/6373554?hl=en Use automatic captioning - YouTube Help]，約需要半天時間 {{access | date = 2018-09-04}} 教學: [https://www.techbang.com/posts/2107 YouTube超佛心，自動幫你加入字幕！ | T客邦] | ||
* | * Input: Video | ||
* Language: | * Language: | ||
* Sample code: | * Sample code: | ||
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[https://www.xfyun.cn/doccenter/asr 语音识别 - 讯飞开放平台] {{access | date=2018-09-06}} | [https://www.xfyun.cn/doccenter/asr 语音识别 - 讯飞开放平台] {{access | date=2018-09-06}} | ||
* | * Input: speex audio file less than 1 minute <ref>[https://doc.xfyun.cn/rest_api/%E8%AF%AD%E9%9F%B3%E5%90%AC%E5%86%99.html 语音听写 · 科大讯飞REST_API开发指南]</ref> | ||
* Language: 中文（普通话）、英文、中文（粤语）、中文（四川话） | * Language: 中文（普通话）、英文、中文（粤语）、中文（四川话） | ||
* Sample code: | * Sample code: | ||
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[https://aws.amazon.com/tw/transcribe/ Amazon Transcribe – 自動語音辨識 – AWS] (API documentation: [https://docs.aws.amazon.com/transcribe/latest/dg/what-is-transcribe.html What Is Amazon Transcribe? - Amazon Transcribe]) {{access | date=2018-09-05}} | [https://aws.amazon.com/tw/transcribe/ Amazon Transcribe – 自動語音辨識 – AWS] (API documentation: [https://docs.aws.amazon.com/transcribe/latest/dg/what-is-transcribe.html What Is Amazon Transcribe? - Amazon Transcribe]) {{access | date=2018-09-05}} | ||
* | * Input: Audio file (Stored in S3 bucket). "Valid formats for the audio are mp3, mp4, wav and flac. <ref>[https://docs.aws.amazon.com/transcribe/latest/dg/API_StartTranscriptionJob.html StartTranscriptionJob - Amazon Transcribe] For best results, use a lossless format, such as FLAC or WAV with PCM 16-bit encoding.Your audio input can be sampled at any rate between 8000 and 48000 Hz. We suggest that you use 8000 Hz for low-quality audio and 16000 Hz for high-quality audio.</ref>" | ||
* Language: English, Spanish | * Language: English, Spanish | ||
* Sample code: | * Sample code: | ||