This paper deals with the fundamental frequency estimation for monophonic sounds in the SMS analysis environment. The importance of the fundamental frequency as well as some uses in SMS is commented. The particular method of F0 estimation based on a two-way mismatched measure is described as well as some modifications. Finally we explain how pitch-unpitched decision is performed.

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An audio fingerprint is a content-based compact signature that summarizes an audio recording. Audio Fingerprinting technologies have recently attracted attention since they allow the monitoring of audio independently of its format and without the need of meta-data or watermark embedding. These technologies need to face channel robustness as well as system accuracy and scalability to succeed on real audio broadcasting environments. This paper presents a complete audio fingerprinting system for audio broadcasting monitoring that satisfies the above system requirements. The system performance is enhanced with four proposals that required detailed analysis of the system blocks as well as extense system tuning experiments.

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Ambiances are background recordings used in audiovisual productions to make listeners feel they are in places like a pub or a farm. Accessing to commercially available atmosphere libraries is a convenient alternative to sending teams to record ambiances yet they limit the creation in different ways. First, they are already mixed, which reduces the flexibility to add, remove individual sounds or change its panning. Secondly, the number of ambient libraries is limited. We propose a semi-automatic system for ambiance generation. The system creates ambiances on demand given text queries by fetching relevant sounds from a large sound effect database and importing them into a sequencer multitrack project. Ambiances of diverse nature can be created easily. Several controls are provided to the users to refine the type of samples and the sound arrangement.

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