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Compressed audio often results in the loss of a number of key audio attributes such as audio bandwidth and stereo separation. Additionally, there is also a noticeable loss in the level of details and intelligibility and/or warmth in the signal. Due to the proliferation on the Internet of compressed bit rate reduced audio, coded using a variety of coding algorithms (e.g. MP3/AAC+ etc.) and bit rates, over which the listener has no control, it is becoming increasingly attractive to incorporate processing tools in the player which can ensure a consistent listener experience. Audio post-rocessing becomes even more desirable when playback is on a compact device like a tablet or a smart phone which entails transducer limitations further impacing listener experience. ATC Labs audio post processing API is based on its novel Perceptual SoundMaxTM high resolution 24-band audio processing technology and has unmatched processing prowess and range of contols allowing the listener experience to be maximized for any combination of compression algorithm, listening device, and the listening environment. It has been optimized in terms of low complexity and ease of deployment.
Perceptual SoundMaxTM
A unique, versatile and powerful set of audio processing tools for creating a thrilling listener experience with a sound that is lively, consistent, and pleasing across different genre and music; it works without listener having to constantly fiddle with settings and volume adjustments. Available tools include the following:
Intelligent continuous Loudness Level Control & Management with optimized Subjective Loudness models.
10/24-band high resolution Dynamics Processing with completely linear-phase envelope compression, limiting, expansion and noise-gating in multiple bands.
Powerful Bass Enhancement
Stereo Image Enhancement & Stabilization
10-band EQ
Unique Audio Sweetening Tools: Dynamic Listening Fatigue Reduction (DLFR) and Incoherent Components Compression (ICS)
Look-ahead Limiting
Noise reduction
Blind 2-to-5 channel upmixing mode for realistic surround playback over an external home-theater setup with stereo music sources
Spatial stereo downmix generation from 5/multi-channel sources which creates spatial sound during headphone listening.
Unique blind audio bandwidth extension technology which can extend the bandwidth of audio signals (e.g. from 5 kHz to 15 kHz) without any need for forward bitstream information.
Enhance quality of TTS synthesized speech (e.g. navigation instructions).
Enhance narrow band voice.
Enhance low-bitrate MP3
Pre-scale audio tracks, e.g. during ingest to a user created library/database
Employs algorithms based on EBU-R128 standard but further optimized using our knowhow in subjective multi-channel loudness.
The Automatic Noise Removal platform from ATC Labs consists of several noise removal and signal enhancement modules which may be used either independently or in conjunction with each other. Algorithms are fully automatic and signal adaptive (in other word these do not require manual selection of parameters such as noise profile, etc.) These may be used to enhance noisy audio often found in conventional radio receivers and some of these modules also work well to enhance signal affected by low bit rate coding artifacts. The noise removal tool consists of two key algorithms:
A novel wide-band Adaptive Noise Removal Module with Primary Sound Preservation (NRM) which removes wide-band background noise with the help of adaptive filtering techniques.
A multi-band Temporal Envelope Enhancement Processor (TEEP) which is an enhancement approach to reduce the impact of noise
Raghuram Annadana, Harinarayanan E.V, Deepen Sinha, and Anibal Ferreira, A Novel Audio Post-Processing Toolkit for the Enhancement of Audio Signals Coded at Low Bit Rates, in the preprints of 123rd Convention 2007 Oct 5-8, New York, USA...Pdf
Harinarayanan E.V, Deepen Sinha, Shamail Saeed and Anibal Ferreira A Novel Automatic Noise Removal Technique for Audio and Speech Signals, in the preprints of 123rd Convention 2007 Oct 5-8, New York, USA...Pdf
Balaji Vodapally; Brijesh Singh Tiwari; Deepen SinhaA Novel Multi-Stage Loudness Control Algorithm for Audio Processing, in the preprints of 123rd Convention 2011 Oct 19, New York, USA...Pdf
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