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Which accents does automatic speech recognition work best for?


Which accents does automatic speech recognition work best for?

If your primary dialect is something other than Standardized American English (that sort of from-the-US-but-not-anywhere-in-particular type ...

Solving the speech recognition accent gap with Global English

Speechmatics is solving the widely criticized speech recognition accent gap when it comes to transcribing multiple English accents and dialects.

Which English accent works satisfactorily for speech recognition?

It's not that any particular accent is "more satisfactory" per se, but rather that a system will work better on accents broadly close to ...

Automatic Dialect and Accent Recognition and its Application to ...

technology can be employed to improve Automatic Speech Recognition (ASR). In ... rately is particularly important for our dialect recognition work. It ...

Why do speech recognition systems often fail if a person has ... - Quora

The artificial intelligence learns by exposure, and so gets better at the most common accents, faster. Some accents are more similar to each ...

How AI speech recognition shows bias toward different accents

Speech recognition systems can only recognize accents and dialects that they've been trained to understand. So the issue of understanding ...

Automatic Speech Recognition in Diverse English Accents

However, this interaction is not always seamless for all users. Specifically, speakers with accents frequently face difficulties using ASR technologies and ...

Speech recognition software for accents - Ask MetaFilter

The Nuance dictation software that is used (PowerScribe 360) has different voice profiles that learn and pick up words much better than my ears do.

Performance Disparities Between Accents in Automatic Speech...

They find that ASR performance is significantly better for speakers whose first language was English. While such observations have been ...

Free app with voice recognition for accent correction - Reddit

It also gives me the insight of how important pauses, pace and emphasis is, because it actually influences what output you get. Obviously it ...

Accent modification for speech recognition of non-native speakers ...

Nowadays automatic speech recognition (ASR) systems can achieve higher and higher accuracy rates depending on the methodology applied and ...

Automatic accent identification as an analytical tool for accent robust ...

The best performance across all accents, a 32% relative reduction in errors compared with the baseline ASR system, is obtained when the supplementary data ...

Accented Speech Recognition: The Inclusive Realm of Automatic ...

By training language models on diverse accent data and incorporating accent-specific linguistic patterns, the ASR system can better adapt to ...

Accents Still Elude Speech Recognition Systems, But for How Long?

As a result, speech recognition engines are largely accurate. “There have been tons of lab tests for the ASR offerings from companies like ...

Evaluation of Off-the-shelf Speech Recognizers on Different Accents ...

Automatic speech recognition (ASR) systems are being used for an increasing number of speech-to-text appli- cations. With this proliferation, it is increasingly ...

Performance Disparities between Accents in Automatic Speech ...

We find that all the ASR services perform best for those whose first language is English, followed by Dutch and Ger- man. The worst performance is on speakers ...

July 2016 - Linguistics and Data Science

ASR has got better over time. It's totally possible that more women just did the accent tag challenge earlier, and thus had higher error rates ...

A content analysis of accent misconceptions in ASR research

Researchers in automatic speech recognition (ASR) have demonstrated multiple ways in which ASR algorithms are biased and discriminatory, i.e., ...

How does Automatic Speech Recognition Navigate ... - Gladia

Hybrid system for accent management ... One of the significant advantages of our solution is its ability to handle accents. ... If we relied solely on vocal ...

A content analysis of accent misconceptions in ASR research

Research to address differing ASR performance by accent is thus an important avenue for future language equity, and there are several papers ...