Shaip's Offering
When it comes to providing quality, reliable data sets for developing advanced human-machine interaction voice applications, Shaip leads the market with its successful deployments. However, with an acute shortage of chatbots and voice assistants, businesses are increasingly relying on the services of Shaip – the market leader – to provide personalized, accurate and quality data sets for training and testing AI projects.
By combining natural language processing, we can deliver personalized experiences by helping to develop accurate voice applications that effectively mimic human conversations. We use a multitude of premium technologies to deliver high-quality customer experiences. NLP teaches machines to interpret human languages and interact with humans.
Audio transcription
Shaip is a leading audio transcription service provider offering a variety of voice/audio files for all types of projects. Additionally, Shaip offers a 100% human-generated transcription service to convert audio and video files – interviews, seminars, conferences, podcasts, etc. in easily readable text.
Voice tagging
Shaip offers extensive voice tagging services by expertly separating sounds and speech in an audio file and labeling each file. By accurately separating similar audio sounds and annotating them,
Diarization of speakers
Sharp's expertise extends to offering excellent loudspeaker diarization solutions by segmenting audio recording based on their source. Additionally, speaker boundaries are accurately identified and categorized, such as speaker 1, speaker 2, music, background noise, vehicle sounds, silence, etc., to determine the number speakers.
Audio rating
Annotation begins with classifying audio files into predetermined categories. The categories mainly depend on the project requirements and typically include user intent, language, semantic segmentation, background noise, total number of speakers, etc.
Collection of natural language utterances/wake words
It is difficult to predict that the customer will always choose similar words when asking a question or initiating a request. For example, “Where is the nearest restaurant?” » “Find restaurants near me” or “Is there a restaurant near me?” »
The three expressions have the same intention but are worded differently. Through permutation and combination, Shaip's expert conversational AI specialists will identify all possible combinations to articulate the same request. Shaip collects and annotates utterances and cue words, focusing on semantics, context, tone, diction, timing, accent, and dialects.
Multilingual audio data services
Multilingual audio data services are another popular offering from Shaip, as we have a team of data collectors collecting audio data in over 150 languages and dialects across the world.
Intent detection
Human interactions and communications are often more complicated than we give them credit for. And this innate complication makes it difficult to train an ML model to accurately understand human speech.
Additionally, different people in the same or different demographic groups may express the same intention or feeling differently. Thus, the speech recognition system must be trained to recognize common intentions, regardless of demographic group.
To ensure you can train and develop a best-in-class ML model, our speech therapists provide comprehensive and diverse datasets to help the system identify the different ways humans express the same intention.
Classification of intentions
Similar to identifying the same intent from different people, your chatbots must also be trained to categorize customer comments into different categories – predetermined by you. Each chatbot or virtual assistant is designed and developed for a specific purpose. Shaip can categorize user intent into predefined categories as needed.
Automatic Speech Recognition or ASR
Speech recognition” refers to the conversion of spoken words into text; However, speech recognition and speaker identification aim to identify both the spoken content and the identity of the speaker. The accuracy of ASR is determined by different parameters, namely speaker volume, background noise, recording equipment, etc.
Tone detection
Another interesting facet of human interaction is tone: we inherently recognize the meaning of words based on the tone in which they are spoken. While what we say is important, how we say those words also conveys meaning.
For example, a simple sentence such as “What joy!” could be an exclamation of happiness and could also be sarcastic. It depends on tone and stress.
'What are you doing?'
'What are you doing?'
These two sentences contain the exact words, but the emphasis on the words is different, which changes the entire meaning of the sentences. The chatbot is trained to identify happiness, sarcasm, anger, irritation and many other expressions. This is where the expertise of Sharp’s speech therapists and annotators comes into play.
Audio/Voice Data License
Shaip offers unparalleled quality voice data sets that can be customized to meet your specific project needs. Most of our data sets can fit any budget and the data is scalable to meet all future project demands. We offer over 40,000 hours of commercially available speech datasets in over 100 dialects and over 50 languages. We also offer a range of audio types including spontaneous, monologue, scripted and wake-up words. View full Data catalog.
Audio/speech data collection
When there is a shortage of quality voice data sets, the resulting voice solution can be riddled with problems and lack reliability. Shaip is one of the few providers to offer multilingual audio collections, audio transcriptions and annotation tools and fully customizable services for the project.
Speech data can be thought of as a spectrum ranging from natural speech on one side to unnatural speech on the other. In natural speech, the speaker speaks in a spontaneous conversational manner. On the other hand, unnatural speech sounds restricted when the speaker is reading from a script. Finally, speakers are asked to pronounce words or phrases in a controlled manner in the middle of the spectrum.
Sharp's expertise extends to providing different types of speech datasets in over 150 languages