Ablio AI

Ablio AI is offered with a transparent pricing model: usage-based per-minute pricing plus platform access costs. You only pay for the minutes actually used, with no fixed fees, monthly subscriptions, or advance payments:

• AI for Virtual Events:

  Ablio AI works in combination with your preferred videoconferencing or virtual event platform, such as Zoom, Google Meet, Microsoft Teams, and others.

• Participants can listen to the translation and/or read the subtitles by opening the web app as a widget on the same device used for the videoconference, or through the mobile app.

• In-Person Events:

  The audio signal captured from the room’s audio mixer is sent via videoconference and fed into the platform.

• Participants listen to the translation through the Ablioaudience mobile app.

• Subtitle Display on Screens in the Room:

  Simultaneously translated text can be displayed on stage screens using the subtitle box available in the web app.

• Recordings:

  The audio from the AI interpreting channels can be recorded using the recording function available in the operator dashboard.

• Mixed Events with Human Interpreters and AI

  It is possible to manage events in which some language combinations are handled by human interpreters and others through AI interpreting.

• It is also possible to combine human interpreters and AI interpreting within the same language combination.

AI interpreting — whether Ablio AI or any other AI interpreting system — differs from human interpreting because it is based on a set of technologies with specific characteristics and limitations. It is important to understand how it works and what its features are in order to assess which type of interpreting, human or AI, is best suited to your event.

The AI Interpreting Process

AI interpreting takes place through a three-step process:

• Speech-to-text (ASR): this converts speech into text by digitizing sound waves, filtering background noise, and using AI models to break the audio down into phonemes. The process analyzes these elements and compares them with language models to produce the most accurate real-time transcription possible.

• Text-to-Text Translation (NMT): this uses Neural Machine Translation and deep learning to analyze, understand contextually, and convert texts between different languages. By processing large datasets, AI models identify grammatical structures, syntax, and context in order to generate natural translations rather than simple word-for-word substitutions.

• Text-to-speech (TTS): the translated text is converted into spoken audio using artificial intelligence and neural networks to simulate intonation and naturalness. The process analyzes the text, converts graphemes into phonemes, and generates the speech waveform in real time.

Accuracy

Although AI interpreting can provide accurate translation, several factors may affect its quality, including:

• Speaker Audio Quality. Poor audio quality can make it difficult to transcribe speech correctly, especially in the presence of background noise or overlapping voices.

• Internet Connection. Audio artifacts and micro-interruptions caused by unstable connections can result in missing or incorrectly transcribed words.

• Language Inflections. AI systems understand a wide variety of accents and intonations. However, if speakers use a non-native language with strong inflections, transcription errors may occur.

Latency

Professional human simultaneous interpreting normally has a delay of one or two seconds compared with the original speech. This delay allows the interpreter to understand the initial meaning of the sentence before starting the translation.

AI interpreting, on the other hand, generally needs to analyze larger speech segments. In order to produce an accurate translation, the system often has to wait for the sentence to be completed, which creates a delay in the final output. For example, if a complete sentence lasts six seconds, the text-to-text translation will be generated after approximately six seconds.

Synthetic Voice

The generated voice uses neural speech synthesis systems to produce clear and natural audio with a neutral tone, without imitating the original speaker’s voice.

Costs

AI interpreting costs are generally around 30%–50% of the cost of human interpreting. In addition, unlike human interpreters, AI interpreting does not require interpreter teams to alternate during long sessions, further reducing operational costs.

Please feel free to contact our team for a guided demo or to discuss the configuration best suited to your events.