Shape Offerings
Shaip has led the market through successful deployments in providing high-quality, reliable datasets for the development of advanced human-machine interaction voice applications. But with an acute shortage of chatbots and voice assistants, companies are increasingly turning to the services of market leader Shaip to provide accurate, customized, high-quality datasets for training and testing AI projects.
By combining natural language processing, we can help you develop accurate speech applications that effectively mimic human conversation, thereby delivering personalized experiences. We use a variety of advanced technologies to deliver a high-quality customer experience. NLP teaches machines to interpret human language and interact with humans.
audio transcription
Shaip is a leading audio transcription service provider offering a wide range of voice/audio files for all types of projects. Shaip also offers a 100% human-generated transcription service that converts audio and video files (interviews, seminars, lectures, podcasts, etc.) into easily readable text.
voice labeling
Shaip offers a comprehensive range of speech labeling services, expertly separating sounds and voices in audio files and labeling each file. Accurately isolate and annotate similar audio sounds,
Speaker segmentation
Sharp’s expertise extends to segmenting audio recordings based on source, providing superior speaker segmentation solutions. It also determines the number of speakers by accurately identifying and classifying speaker boundaries such as speaker 1, speaker 2, music, background noise, traffic sounds, and silence.
audio classification
Annotation begins with categorizing audio files into predetermined categories. Categories largely depend on project requirements and typically include user intent, language, semantic segmentation, background noise, total number of speakers, etc.
Collection of natural language utterances/wake-up words
It’s difficult to predict that customers will always choose similar words when asking a question or starting a request. Example: “Where is the nearest restaurant?” “Find a restaurant near me” or “Is there a restaurant nearby?”
All three utterances have the same intention but are expressed differently. Through permutations and combinations, Shaip’s expert conversational AI experts identify all possible combinations for expressing the same request. Shaip collects and annotates utterances and wake words, focusing on meaning, context, tone, diction, timing, stress, and dialect.
Multilingual audio data service
Multilingual audio data service is another highly preferred service provided by Shaip. That’s because we have a data collection team that collects audio data in over 150 languages and dialects from around the world.
intent detection
Human interaction and communication are often more complex than we think. And this inherent complexity makes it difficult to train ML models to accurately understand human speech.
Moreover, different people belonging to the same or different demographic groups may express the same intention or emotion differently. Therefore, speech recognition systems must be trained to recognize common intent regardless of demographics.
To help you train and develop the best ML models, our speech therapists provide you with a wide and diverse set of data that helps the system identify the different ways in which humans express the same intent.
Intent Classification
Similar to identifying the same intent in other people, chatbots should also be trained to categorize customer comments into various categories that you pre-determine. Every chatbot or virtual assistant is designed and developed with a specific purpose. Shaip can categorize user intent into predefined categories as needed.
Automatic Speech Recognition or ASR
“Speech recognition” means converting spoken words into text. However, speech recognition and speaker identification aim to identify both the speech content and the identity of the speaker. The accuracy of ASR is determined by various parameters such as speaker volume, background noise, recording equipment, etc.
Tone detection
Another interesting aspect of human interaction is tone. We inherently perceive the meaning of words based on the tone in which they are uttered. What we say is important, but how we say those words also conveys meaning.
For example, a simple phrase like ‘What Joy!’ It may be an exclamation of happiness or it may be intended to be sarcastic. It depends on tone and stress.
‘What are you doing?’
‘What are you doing?’
Both sentences have the exact words, but the stress on the words is different, which changes the overall meaning of the sentences. The chatbot is trained to identify a variety of expressions, including happiness, sarcasm, anger, and frustration. This is where the expertise of Sharp’s speech-language pathologists and annotators comes into play.
Audio/Voice Data License
Shaip offers the best off-the-shelf quality speech datasets that can be customized to fit the specific needs of your project. Most datasets fit any budget, and the data is scalable to meet any future project needs. We provide ready-made speech datasets of over 40,000 hours in over 50 languages and 100 dialects. It also offers a variety of audio types, including natural sounds, monologues, transcripts, and wake words. View the entire data catalog.
Audio/voice data collection
If high-quality speech datasets are lacking, the resulting speech solutions can be fraught with problems and lack reliability. Shaip is one of the few providers that offers multilingual audio collections, audio transcription, and other services. annotation tools Fully customizable service to fit your project.
Speech data can be viewed as a spectrum, from natural speech at one end to unnatural speech at the other. In a natural conversation, the speaker speaks in a natural conversational manner. On the other hand, unnatural speech sounds are limited while the speaker is reading the script. Finally, the speaker is prompted to say a word or phrase in a controlled manner in the middle of the spectrum.
Sharp’s expertise extends to providing diverse types of speech datasets in over 150 languages.