SpeechSuper API Now Supports Mandarin Chinese Mispronunciation Detection

SpeechSuper has long supported the assessment of Mandarin Chinese character pronunciation by scores. However, scores might be insufficient to give concrete instructions to users. 


We're excited to announce that SpeechSuper recently launched the feature - the Mandarin Chinese mispronunciation detection. It spots users' mispronunciations of Chinese characters and returns if they mispronounced an A sound for a B sound, making feedback more specific.


Here are two examples. 


Example 1:

A user was expected to read aloud "níu", but she said, "líu", confusing the initial "n" and "l" in pronunciation.


SpeechSuper API found the error she mispronounced 'n' for 'l' with a confidence score of 100.








Example 2:

A user was expected to read aloud "shēng", but she said, "shēn", confusing the final "-eng" and "-en" in pronunciation.




Click here to try it out.

SpeechSuper API found the error she mispronounced '-eng' for '-en' with a confidence score of 100. A classic confusion in pronunciation.


In conclusion, SpeechSuper API can handle mispronunciations of both initial sounds and onset sounds of Chinese characters, covering almost all confusing sounds from Chinese speakers and foreign learners.


At SpeechSuper we are passionately committed to improving the best spoken language assessment API for language learning providers. As of now, SpeechSuper's spoken Mandarin Chinese character assessment API provides not only an overall score, scores of initial sounds, onset sounds, and tones but also mispronunciation. If you are a Chinese language learning service provider and wish to engage your users with instructive and detailed feedback on spoken activities, please reach out and we will be happy to assist you.


If you wish to learn more or have any questions, please reach us at sales@speechsuper.com. We look forward to hearing from you.


ABOUT US


Qiusi is a product manager in China’s EdTech industry focusing on language learning and AI. She enjoys writing stories. You can reach her at qiusi.dong@speechsuper.com


SpeechSuper provides cutting-edge AI speech assessment (a.k.a pronunciation assessment or pronunciation score) APIs for language learning products. Comprehensive feedback covers pronunciation score, fluency, completeness, rhythm, stress, liaison, etc. Languages supported include English, Mandarin Chinese, French, German, Korean, Japanese, Russian, Spanish, and more.


*Prior written consent is needed for any form of republication, modification, repost, or distribution of the contents.



Comments

Post a Comment

Popular posts from this blog

How Accurate is Pronunciation Assessment?

Image
Pronunciation assessment APIs usually offer pronunciation scores at phoneme level, syllable level, word level, and sentence level. Yet, how do you know if the scores are accurate? By comparing the predicted pronunciation scores of the testset with the golden standard (human label). The closer the two results, the more accurate the algorithm is.  To make the metric(s) representative and useful, we need to think carefully about 1) testset, and 2) performance metrics. Testset The testset is usually designed by an AI product manager. He/She should ensure that the testset can 1) reflect real user scenarios, 2) have good data variety, and 3) cover a wide range of use cases. For example, SpeechSuper's API testsets consist of masked audios from language learners sampled from our real user base. They usually cover a wide spectrum of phonetic combinations in a specific language. The testsets not only contain data recorded in a quiet environment but also with background noise. Metrics I guess...
Read more

SpeechSuper English Speech to Text API Supports Inverse Text Normalization

Image
SpeechSuper released a new speech-to-text (speech recognition) API feature: inverse text normalization. What is inverse text normalization? It converts the words to numerical or scientific expressions for better readability and understanding. For example, the recognized words 'seventeen dollars' can be converted to '$17' via inverse text normalization. We now support inverse text normalization in the following domains. 1. Cardinal number and currency   SpeechSuper's English speech-to-text API can support number and currency conversion. For example, if the recognized words are 'It costs three hundred and one dollars.', it will be converted to 'It costs $301.' 2. Date SpeechSuper's English speech-to-text API can support date conversion. For example, if the recognized words are 'I was born on November first nineteen ninety-seven.', it will be converted to 'I was born on November 1, 1997'. 3. Decimal number SpeechSuper's English s...
Read more

Enhanced Indian English Pronunciation Assessment Available on SpeechSuper API

Image
Introducing SpeechSuper's latest release: the   Indian English   pronunciation assessment API! Now, you can leverage this powerful tool to assess English word, phrase/sentence, and paragraph pronunciation specifically in the Indian English dialect. Click to experience the demo firsthand. With our API, Indian professionals proficient in English can achieve higher scores while embracing their unique accents. As long as an accent doesn't hinder understanding, it adds to the richness of communication. To make use of this cutting-edge feature, include the following line in your request parameters for English word, sentence, and paragraph pronunciation assessment API, and you're good to go: "accent_dialect": "indian" If you're eager to explore this feature and would like to experience a free trial, simply visit our  website , click the "Contact us" button, and fill out the form. Once submitted, I will promptly reach out to provide you with the fr...
Read more