Yandex SpeechSense

The main articles are:

• Speech Recognition (Technology, Market)
• Speech technology: On the path from recognition to understanding
• Data mining Data mining

Yandex SpeechSense is a service for deep analysis of communication channels (voice and text).

2025: Voice Analytics Service Optimization

The Yandex Cloud cloud platform has updated the Yandex SpeechSense voice analytics service. Now the business can analyze records of dialogues of employees and customers in bank offices, stores, clinics and other organizations using neural networks. Thus, the business will be able to increase sales efficiency and service quality.

The Yandex SpeechSense update expands the capabilities of marketing analytics: the business will be able to determine customer loyalty, the effectiveness of marketing offers and find the most successful examples of working out objections. This will also allow a more comprehensive assessment of the employee's work, for example, to determine whether customers like his communication style, which words and phrases should not be used, and which, on the contrary, can lead to a deal.

According to Yandex Cloud estimates, the potential volume of the offline voice analytics market is 11.5 billion rubles, which is more than 320 thousand recording devices, including audio pages and voice recorders. This figure is approximately 1.9% of the global market volume, which reaches about $6-7 billion. Among the key customers of voice offline analytics are banks and financial companies (they are in demand among 12% of industry employees), medical organizations (8%), retailers (6%) and the restaurant business (4%).

Usually, when evaluating offline communications, companies analyze only the speech of their employee using audio tabs, because when talking to several people, systems often cannot determine which of the interlocutors owns this or that replica. Yandex SpeechSense solves this problem neuronets YandexGPT with Speaker Labeling technology as well. They separate the replicas from each other in the dialogue and then distribute them to roles with high accuracy. Thus, a business can use audio recordings from any recording devices for voice analytics and see the results of analytics in the context of an employee and a client.