![]() ![]() WER measures the percentage of incorrect word transcriptions in the entire set. However, the industry standard method for comparison is Word Error Rate (WER), often abbreviated as WER. It might be useful for you to use multiple metrics, depending on your needs. Speech accuracy can be measured in a variety of ways. We offer a wide variety of models tailored for different use cases, such as long-form audio, medical or over-the-phone conversations. In Google's Cloud Speech-to-Text API, accuracy tuning can be done by choosing the most appropriate recognition model and by using our Speech Adaptation API. Once you measure your accuracy, it's possible to tune the systems to provide even greater accuracy for your specific situation. If you plan to rely on ASR for critical systems, it's very important to measure its accuracy or overall quality to understand how it performs in your broader system that integrates it. However, machine learning systems are rarely 100% accurate, and ASR is no exception. ASR has many applications from subtitling, to virtual assistants, to Interactive Voice Responses (IVRs), to dictation, and more. ![]() Save money with our transparent approach to pricingĬloud Speech-to-Text on-prem documentationĬloud Speech-to-Text on-device documentationĪutomated Speech Recognition (ASR), also known as machine transcription or Speech-to-Text (STT), uses machine learning to turn audio containing speech into text. Rapid Assessment & Migration Program (RAMP) Migrate from PaaS: Cloud Foundry, OpenshiftĬOVID-19 Solutions for the Healthcare Industry Implement real-time transcription in production.Transcribe phone audio with enhanced models.Voice typing works in these languages and accents:Īfrikaans, Amharic, Arabic, Arabic (Algeria), Arabic (Bahrain), Arabic (Egypt), Arabic (Israel), Arabic (Jordan), Arabic (Kuwait), Arabic (Lebanon), Arabic (Morocco), Arabic (Oman), Arabic (Palestine), Arabic (Qatar), Arabic (Saudi Arabia), Arabic (Tunisia), Arabic (United Arab Emirates), Armenian, Azerbaijani, Bahasa Indonesia, Basque, Bengali (Bangladesh), Bengali (India), Bulgarian, Catalan, Chinese (Simplified), Chinese (Traditional), Chinese (Hong Kong), Croatian, Czech, Danish, Dutch, English (Australia), English (Canada), English (Ghana), English (India), English (Ireland), English (Kenya), English (New Zealand), English (Nigeria), English (Philippines), English (South Africa), English (Tanzania), English (UK), English (US), Farsi, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Icelandic, Italian, Italian (Italy), Italian (Switzerland), Japanese, Javanese, Kannada, Khmer, Korean, Laotian, Latvian, Lithuanian, Malayalam, Malaysian, Marathi, Nepali, Norwegian, Polish, Portuguese (Brazil), Portuguese (Portugal), Romanian, Russian, Slovak, Slovenian, Serbian, Sinhala, Spanish, Spanish (Argentina), Spanish (Bolivia), Spanish (Chile), Spanish (Colombia), Spanish (Costa Rica), Spanish (Ecuador), Spanish (El Salvador), Spanish (Spain), Spanish (US), Spanish (Guatemala), Spanish (Honduras), Spanish (Latin America), Spanish (Mexico), Spanish (Nicaragua), Spanish (Panama), Spanish (Paraguay), Spanish (Peru), Spanish (Puerto Rico), Spanish (Uruguay), Spanish (Venezuela), Sundanese, Swahili (Kenya), Swahili (Tanzania), Swedish, Tamil (India), Tamil (Malaysia), Tamil (Singapore), Tamil (Sri Lanka), Thai, Turkish, Ukrainian, Urdu (India), Urdu (Pakistan), Vietnamese, Zulu. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |