The Azure AI Speech service provides a range of speech recognition and generation capabilities including speech transcription, text-to-speech and speech translation. It provides a range of speech recognition and generation capabilities including speech transcription, text-to-speech, speech translation, and speaker recognition.
Akkadu is very well suited for global meetings, where participants speak different languages. Or with participants who speak the same language but with a strong accent that it is difficult to understand.
Excellent for voice enabled apps built in security so speech data does not go outside Flexible deployment on the cloud Speech translation in real time scenarios Using customised keywords to activate IoT devices
Akkadu.ai is more accurate. The fact in the Akkadu app you can pick accents such as English (India) or English (Australia) improves the accuracy of the AI. Also the fact you can add terminologies from your industry in advance, makes the AI more accurate as well. Akkadu is very easy-to-use Customer service speaks fluent English and Spanish
Having used both this service and IBM Watson's Text to Speech, I can safely say that IBM's product comes out on top but this is a close call as both products are very good in their own right. That being said, this Azure service lacks some of the extra functionality that can be found in other products such as broader multi-language support. This product is also more costly than some other alternatives which is a con in my opinion. Azure does, however, come out on top in regards to customer support and general support of the product as it is supported by Microsoft which also means that it integrates well with other parts of the Microsoft suite.
Very positive impact! Meetings with foreign clients that don't speak good English, now became very smooth.
Colleagues that don't speak good English now can use their mother tongue during our internal meetings with the Headquarters in Germany. The HQ has noticed the engagement of the foreign colleagues has increased.