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In this fourth part of Paving the way for the next generation audio codec for True Wireless Stereo (TWS) applications whitepaper, the pure audio performance will be discussed.
In this third part of Paving the way for the next generation audio codec for the True Wireless Stereo (TWS) applications whitepaper, the latency performance and how it impacts the ANC performance will be detailed.
In this second part of Paving the way for the next generation audio codec for True Wireless Stereo (TWS) applications whitepaper, energy efficiency will be discussed and several means to achieve extra-long playtime will be exposed.
More than ever before, the attention to power consumption is paramount when developing new products. In this environment, voice activity detection has a major role to play for any new voice-controlled system.
Allowing battery-powered devices to run, without battery recharge, for years rather than months, partakes in enhancing significantly end-user satisfaction and is a key point to enabling the emergence of IoT applications. Numerous applications, such as M2M, BLE, Zigbee…, have an activity rate (duty cycle) such that the power consumption in sleep mode dominates the overall current drawn by the SoC (System on Chip). For such applications, the design of the “Always-On power domain" (a.k.a AON power domain) is pivotal.
Due to the lack of thorough specifications to assess the performance of voice detection solutions, it is a real conundrum for users to evaluate the best solution among a jungle of true and false detection claims and without any benchmark. ?The aim of this article is to help IP procurement managers, SoC architects and system makers using voice detection IP in their systems to assess and compare the detection performances.
