Amberscript vs. IBM Watson Text to Speech

Amberscript is great for transcribing individual audio (or video) files that reside on your computer. The ability to view and edit the text of the text file (to correct or remove data that you don't want to be shared) before the output is a great option. I feel it may be limited in the ability to transcribe live audio records such as phone calls or meetings, where we would find it very useful to have immediate access to a transcript (for coaching or sharing purposes). I feel the needs are more designed as a solution for pre-existing audio/video files versus working in real-time.

Incentivized

I advise Watson for all scenarios where you need AI to speak. I don't use this for this goal, but I suppose that could be a good solution for tourism and travel: companies in the hospitality industry can make it easier for people to
get around and offer tours in numerous languages, all at the same time. In telecommunications, could be used to create customized messaging that the caller can use with customers, and it can generate words from a customer’s records that are read to them in a professional and friendly voice. It's very good for English, for Italian is a little "robotic" but the pronunciation is right.

Incentivized

• Automated Speech to text transcribing
• Video and Audio file to text data file conversion

Incentivized

• Improve customer experience and engagement.
• Offers both on-premise and cloud deployments.
• Automate requests and transactions in our agency.
• Voice recognition.
• Allows me to choose dialect which help select accent of the selected speaker.

Incentivized

• There does not appear to be a way to transcribe live audio (such as a live meeting or live phone call)

Incentivized

• Add sentiment variation.
• Add parameter in order to change the characteristic of the voice.
• Use custom voice in order to tune the speaker.

Incentivized

I feel that Amazon Transcribe was much more feature-rich, allowing for a much more real-time solution, whereas Amberscript is great for transcribing existing call recordings (or video files) to a rich text file. Amazon Transcribe will do both, while Amberscript only does the latter. For our business, this was a significant feature loss for Amberscript.

Incentivized

I've never been a fan of the robotic voice of text-to-speech tools and I've always thought they sounded flat and bland. Until I tried IBM Watson Text to Speech, that is. This service uses advanced deep learning techniques to synthesize speech output in natural-sounding voices. I was blown away by how good the voices were that I've been using it for personal stuff like journaling and brainstorming sessions. And I'm definitely going to be using this for podcasting and my YouTube channel.

Incentivized

• Having an automated speech-to-text conversion allows us to reduce human hours, which would normally take notes or have to review long audio files.
• Being able to transcribe multiple call recordings into a searchable text format allows for coaching of issues in a much more efficient format than an audio recording.

Incentivized

• Enhance rapid and convenient customer interaction.
• Client issues are easy to solve by allocating critical info in their native language.
• Automating requests and transactions reduce hold time which improves customer satisfaction.

Incentivized