Loquendo ASR is the next-generation speech recognition technology for speech-enabled applications.
It is speaker-independent and reliably recognizes large-scale vocabulary continuous speech, even in the noisiest environments such as wireless.
Loquendo ASR currently powers services that handle millions of calls every day, such as fully automated directory assistance services, voice portals, and automotive applications.
Loquendo is the only speech technology vendor that provides a complete product line for servers, desktop, PDA and embedded, guaranteeing the same wide range of languages and the same accuracy and performance in all these environments.

The Benefits to You…
Loquendo ASR gives integrators the freedom to create services that are user-friendly and as complex as they want them to be in terms of vocabulary size, interaction flexibility and number of languages. Loquendo ASR perfectly fits the requirements of each and every application scenario - however complex.

• Broad Vocabulary & Flexible Recognition – recognizes up to 1,000,000 words; supports isolated and continuous speech.
• Highly Accurate Speech Recognition – thanks to integration of neural networks and hidden Markov models, and detailed acoustic-phonetic units trained on large speech corpora.
• Extended Standards Support – optimized for VoiceXML applications; MRCP and AURORA compliance; complete grammar standards support, both W3C SRGS and Semantic Interpretation.
• Highly accurate phonetic transcribers – specialized for each language (also used in acclaimed Loquendo TTS).
• High Efficiency – low-computational power requirements enable a large number of recognition channels to run simultaneously, both with small and large vocabularies.
• Rapidly Extensible to new languages – the methodology that has been tuned for our wide range of languages is rapidly extended to any other.
• Powers Loquendo Speaker Verification technology – easy evolution of the ASR engine.

Simple Yet Powerful Technology…
A complete set of simple and powerful features guarantees truly robust speech technology, enabling:

• Improved barge-in capability to guarantee high reactivity and robustness to noise and background speech.
• A new patented speech enhancement method for improved recognition performances in noisy conditions.
• A flexible rejection mechanism which identifies any linguistic expressions that are not acceptable within a specific domain.
• Dialogue-flow management which is achieved through confidence values provided for all the Nbest hypotheses returned – on a sentence-by-sentence & word-by-word basis.
• Garbage rules definition to match arbitrary spoken sequences not modeled by the grammar.

A sophisticated Speech Assistant Toolkit guarantees the rapid and efficient definition of Recognition Objects (ROs) and Recognition Packages, such as Grammar ROs and Language Modeling ROs. In “unpredictable” situations, ROs can be created, stored and deleted on the fly.

Significant memory requirement reduction: ROs can be both permanent (and therefore shared by all recognition channels) and dynamic (i.e. loaded run-time when required and discarded once they have been used).
Loquendo ASR also provides:

• A re-usable built-in grammar library for each language (e.g. date, time, currency, phone numbers, etc.).
• Phonetic segmentation, which includes the phonetic representation and related time-stamps for each phoneme within a sentence. This is often a prerequisite, especially in avatar animation.

ASR Tuning Tools
Loquendo ASR provides users with a tool package that automatically analyzes data collected in the field to improve service performance, including:

• Phonetic Learning – which automatically analyzes application data to identify frequent formulations that have not been covered and additional pronunciation variants, to improve a speech recognition grammar.
• Acoustic Model Adaptation – further increases recognition performance by using audio material recorded in the field (environment, speaker, channel adaptation), where a vocal application is used in a particular context.

Loquendo ASR (913.13 kB)